Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_blac_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Blackwater
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_alph_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_dyna_e8810_chtm3.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Dynamite Creek
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_norm_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Normanton
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_clon_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Cloncurry
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bedo_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Bedourie
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_suns_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Sunshine Coast
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_lagl_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_geor_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Georgetown
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_oakv_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Oak Valley
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_capy_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Cape York
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_hugh_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Hughenden
Foliage Projective Cover (FPC) is percentage of ground area occupied by vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on automated decision tree classification technique applied to dry season Landsat 5 TM imagery for period 1986-2011.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_came_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Cameron Corner
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cunn_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Cunnamulla
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mont_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_camo_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Camooweal
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_town_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Townsville
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_dirr_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Dirranbandi
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_weip_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_morn_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Mornington Island
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_pent_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Pentland
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_boll_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_ston_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Stonehenge
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_burk_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Burketown
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bent_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Bentink Island
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_wint_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_char_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Charleville
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mora_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Moranbah
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_adav_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_uran_e8810_chtm3.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Urandangie
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_carl_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_roma_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_carn_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Carnarvon
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_ariz_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_quil_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bird_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Birdsville
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_wolv_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Wolverton
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_glad_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Gladstone
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtis_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_goon_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Goondiwindi
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_thur_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Thursday Island
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_whit_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Whitsunday
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_hadd_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Haddon Corner
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_kynu_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_boul_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_delt_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Delta Downs
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_fras_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Fraser Island
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_kali_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_york_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - York Island
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_warw_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_ingh_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtdo_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_iron_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Iron Range National Park
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cair_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_tamb_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_isis_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Isisford
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_wind_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Windorah
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_buli_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_doom_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Doomadgee
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_kowa_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Kowanyama
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_gold_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Gold Coast
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_thar_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Thargomindah
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_morv_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mack_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bran_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_prin_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Princess Charlotte
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_badu_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Badu Island
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_king_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Kingaroy
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cook_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Cooktown
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_arra_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Arrabury
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cade_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_stla_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - St Lawrence
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bell_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Bellfield
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_lady_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Lady Musgrave
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_athe_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Atherton
Environment, Tourism, Science and Innovation
Foliage projective cover 2010 series metadata record
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_capk_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Cape Keerweer
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_chat_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Charters Towers
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_sari_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_chin_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Chinchilla
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtco_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Mt Coolan
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_inju_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_erom_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Eromanga
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bund_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Bundaberg
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_glen_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Glenormiston
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_emer_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_yepp_e8810_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtga_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Mt Garnet
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_gunp_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Gunpowder
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_poep_e8810_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.
Foliage projective cover 2010 - Poeppel Corner
Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2010. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_aram_e8810_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia.