315a88ab-faf0-423c-b060-9e858f6fa04e urn:uuid eng UTF-8 nonGeographicDataset nonGeographicDataset 2025-06-25T05:47:50 creation ISO 19115 2016 Foliage Projective Cover - Sentinel-2, DETSI Algorithm, QLD Coverage 315a88ab-faf0-423c-b060-9e858f6fa04e For some time, Remote Sensing Sciences, has produced Foliage Projective Cover (FPC) using a model applied to Landsat surface reflectance imagery, calibrated by field observations. An updated model was developed which relates field measurements of FPC to 2-year time series of Normalized Difference Vegetation Index (NDVI) computed from Landsat seasonal surface reflectance composites. The model is intended to be applied to Landsat and Sentinel-2 satellite imagery, given their similar spectral characteristics. However, due to insufficient field data coincident with the Sentinel-2 satellite program, the model was fitted on Landsat imagery using a significantly expanded, national set of field data than was used for the previous Landsat FPC model fitting. The FPC model relates the field measured green fraction of mid- and over-storey foliage cover to the minimum value of NDVI calculated from 2-years of Landsat seasonal surface reflectance composites. NDVI is a standard vegetation index used in remote sensing which is highly correlated with vegetation photosynthesis. The model is then applied to analogous Sentinel-2 seasonal surface reflectance composites to produce an FPC image at Sentinel-2 spatial resolution (i.e. 10 m) using the radiometric relationships established between Sentinel-2 and Landsat in Flood (2017). This is intended to represent the FPC for that 2-year period rather than any single date, hence the date range in the dataset file name. The dataset is generally expected to provide a reasonable estimate of the range of FPC values for any given stand of woody vegetation, but it is expected there will be over- and under-estimation of absolute FPC values for any specific location (i.e. pixel) due to a range of factors. The FPC model is sensitive to fluctuations in vegetation greenness, leading to anomalies such as high FPC on irrigated pastures or locations with very green herbaceous or grass understoreys. A given pixel in the FPC image, represents the predicted FPC in the season with the least green/driest vegetation cover over the 2-year period assumed to be that with the least influence of seasonally variable herbaceous vegetation and grasses on the more seasonally stable woody FPC estimates. The two-year period was used partly because it represents a period relative to tree growth but was also constrained due to the limited availability of imagery in the early Sentinel-2 time series. The FPC dataset is constrained by the woody vegetation extent dataset for the FPC year. {"type": "Polygon", "coordinates": [[[137.29177, -29.336693], [154.261274, -29.336693], [154.261274, -8.876931], [137.29177, -8.876931], [137.29177, -29.336693]]]} 137.29177 154.261274 -29.336693 -8.876931 foliage projective cover Flood N. (2013a). An operational scheme for deriving standardised surface reflectance from Landsat TM/ETM+ and SPOT HRG imagery for Eastern Australia. Remote Sensing, 5(1): 83-109 documentDigital Method documentation HTML Flood N. (2013b). Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median). Remote Sensing, 5(12): 6481-6500 documentDigital Method documentation HTML Armston J.D., Denham R.J., Danaher T.J., Scarth P.F. and Moffiet T. (2008). Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery for Queensland, Australia. Journal of Applied Remote Sensing, 3: 033540-28 documentDigital Method documentation HTML Muir J., Schmidt M., Tindall D., Trevithick R., Scarth P., and Stewart J. (2011). Field measurement of fractional ground cover: a technical handbook supporting ground cover monitoring for Australia. Technical report, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, ACT documentDigital Method documentation HTML Cloud Optimised GeoTIFFs - Foliage Projective Cover documentDigital HTML Flood N. (2013a). An operational scheme for deriving standardised surface reflectance from Landsat TM/ETM+ and SPOT HRG imagery for Eastern Australia. Remote Sensing, 5(1): 83-109 documentDigital Method documentation HTML Flood N. (2013b). Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median). Remote Sensing, 5(12): 6481-6500 documentDigital Method documentation HTML Armston J.D., Denham R.J., Danaher T.J., Scarth P.F. and Moffiet T. (2008). Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery for Queensland, Australia. Journal of Applied Remote Sensing, 3: 033540-28 documentDigital Method documentation HTML Muir J., Schmidt M., Tindall D., Trevithick R., Scarth P., and Stewart J. (2011). Field measurement of fractional ground cover: a technical handbook supporting ground cover monitoring for Australia. Technical report, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, ACT documentDigital Method documentation HTML foliage_projective_cover documentDigital Foliage Projective Cover WMS Flood N. (2013a). An operational scheme for deriving standardised surface reflectance from Landsat TM/ETM+ and SPOT HRG imagery for Eastern Australia. Remote Sensing, 5(1): 83-109 documentDigital Method documentation HTML Flood N. (2013b). Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median). Remote Sensing, 5(12): 6481-6500 documentDigital Method documentation HTML Armston J.D., Denham R.J., Danaher T.J., Scarth P.F. and Moffiet T. (2008). Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery for Queensland, Australia. Journal of Applied Remote Sensing, 3: 033540-28 documentDigital Method documentation HTML Muir J., Schmidt M., Tindall D., Trevithick R., Scarth P., and Stewart J. (2011). Field measurement of fractional ground cover: a technical handbook supporting ground cover monitoring for Australia. Technical report, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, ACT documentDigital Method documentation HTML Landscape Data Visualiser - Foliage Projective Cover documentDigital HTML Flood N. (2013a). An operational scheme for deriving standardised surface reflectance from Landsat TM/ETM+ and SPOT HRG imagery for Eastern Australia. Remote Sensing, 5(1): 83-109 documentDigital Method documentation HTML Flood N. (2013b). Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median). Remote Sensing, 5(12): 6481-6500 documentDigital Method documentation HTML Armston J.D., Denham R.J., Danaher T.J., Scarth P.F. and Moffiet T. (2008). Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery for Queensland, Australia. Journal of Applied Remote Sensing, 3: 033540-28 documentDigital Method documentation HTML Muir J., Schmidt M., Tindall D., Trevithick R., Scarth P., and Stewart J. (2011). Field measurement of fractional ground cover: a technical handbook supporting ground cover monitoring for Australia. Technical report, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, ACT documentDigital Method documentation HTML ro-crate-metadata.json documentDigital HTML Unnamed resource documentDigital PNG