1e572275-0bab-4c2a-8360-e04eed876f4b urn:uuid eng UTF-8 nonGeographicDataset nonGeographicDataset 2025-06-25T06:47:23 creation ISO 19115 2016 Seasonal surface reflectance - Sentinel-2, JRSRP algorithm, Eastern and Central Australia coverage 1e572275-0bab-4c2a-8360-e04eed876f4b The dataset consists of composited seasonal surface reflectance images (4 seasons per year) created from the full time series of Sentinel-2 imagery. The imagery has been composited over a season to produce imagery which is representative of that period, using techniques which will reduce contamination by cloud and other problems. This creates a regular time series of reflectance values which captures the variability at seasonal time scales. The benefits are a regular time series with minimal missing data or contamination from various sources of noise as well as data reduction. Each season has exactly one value (per band) for each pixel (or is null, i.e., missing), and the value for that season is assumed to be the representative of the whole season. The algorithm is based on the medoid (in reflectance space) over the time period (the medoid is a multi-dimensional analogue of the median), which is robust against extreme values. The seasonal surface reflectance is of the 6 TM-like bands (Blue, Green, Red, NIR, SWIR1, SWIR2), all at 10 m resolution. This dataset is intended to be a 10 m equivalent of the Landsat surface reflectance, using only Sentinel-2. The two 20m bands are resampled using cubic convolution. The pixel values are scaled reflectance, as 16-bit integers. To retrieve physical reflectance values, the pixel values should be multiplied by 0.0001. {"type": "Polygon", "coordinates": [[[128.847656, -26.194877], [155.109374, -26.194877], [155.109374, -9.622414], [128.847656, -9.622414], [128.847656, -26.194877]]]} 128.847656 155.109374 -26.194877 -9.622414 Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481 documentDigital Related documentation HTML Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118. doi:10.1016/j.rse.2011.10.028 documentDigital Related documentation HTML Sentinel 2 Level 1C Processing documentDigital Related documentation HTML Flood, N. (2017) Comparing Sentinel-2A and Landsat 7 and 8 Using Surface Reflectance over Australia. Remote Sens. 9, no. 7. doi:10.3390/rs9070659 documentDigital Related documentation HTML Sentinel 2 Data Product Quality Reports documentDigital Related documentation HTML Gill, T. et al (2017) A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series, International Journal of Remote Sensing, 38:3. doi: 10.1080/01431161.2016.1266112 documentDigital Related documentation HTML Muir, J. et al (2011), Field measurement of fractional ground cover: supporting ground cover monitoring for Australia. ABARES. Canberra documentDigital Related documentation HTML Robertson, P (1989). Spatial Transformations for Rapid Scan-Line Surface Shadowing. IEEE Computer Graphics and Applications, vol. 9. doi: 10.1109/38.19049 documentDigital Related documentation HTML /attachment/0fbb3c7a-0951-4730-ac16-7a2ca4e1bf7e/sentinel2_surface_reflectance_band_and_filenaming-v01.txt documentDigital TXT Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481 documentDigital Related documentation HTML Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118. doi:10.1016/j.rse.2011.10.028 documentDigital Related documentation HTML Sentinel 2 Level 1C Processing documentDigital Related documentation HTML Flood, N. (2017) Comparing Sentinel-2A and Landsat 7 and 8 Using Surface Reflectance over Australia. Remote Sens. 9, no. 7. doi:10.3390/rs9070659 documentDigital Related documentation HTML Sentinel 2 Data Product Quality Reports documentDigital Related documentation HTML Gill, T. et al (2017) A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series, International Journal of Remote Sensing, 38:3. doi: 10.1080/01431161.2016.1266112 documentDigital Related documentation HTML Muir, J. et al (2011), Field measurement of fractional ground cover: supporting ground cover monitoring for Australia. ABARES. Canberra documentDigital Related documentation HTML Robertson, P (1989). Spatial Transformations for Rapid Scan-Line Surface Shadowing. IEEE Computer Graphics and Applications, vol. 9. doi: 10.1109/38.19049 documentDigital Related documentation HTML Cloud Optimised GeoTIFFs - Seasonal surface reflectance documentDigital HTML Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481 documentDigital Related documentation HTML Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118. doi:10.1016/j.rse.2011.10.028 documentDigital Related documentation HTML Sentinel 2 Level 1C Processing documentDigital Related documentation HTML Flood, N. (2017) Comparing Sentinel-2A and Landsat 7 and 8 Using Surface Reflectance over Australia. Remote Sens. 9, no. 7. doi:10.3390/rs9070659 documentDigital Related documentation HTML Sentinel 2 Data Product Quality Reports documentDigital Related documentation HTML Gill, T. et al (2017) A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series, International Journal of Remote Sensing, 38:3. doi: 10.1080/01431161.2016.1266112 documentDigital Related documentation HTML Muir, J. et al (2011), Field measurement of fractional ground cover: supporting ground cover monitoring for Australia. ABARES. Canberra documentDigital Related documentation HTML Robertson, P (1989). Spatial Transformations for Rapid Scan-Line Surface Shadowing. IEEE Computer Graphics and Applications, vol. 9. doi: 10.1109/38.19049 documentDigital Related documentation HTML Landscape Data Visualiser documentDigital HTML Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481 documentDigital Related documentation HTML Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118. doi:10.1016/j.rse.2011.10.028 documentDigital Related documentation HTML Sentinel 2 Level 1C Processing documentDigital Related documentation HTML Flood, N. (2017) Comparing Sentinel-2A and Landsat 7 and 8 Using Surface Reflectance over Australia. Remote Sens. 9, no. 7. doi:10.3390/rs9070659 documentDigital Related documentation HTML Sentinel 2 Data Product Quality Reports documentDigital Related documentation HTML Gill, T. et al (2017) A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series, International Journal of Remote Sensing, 38:3. doi: 10.1080/01431161.2016.1266112 documentDigital Related documentation HTML Muir, J. et al (2011), Field measurement of fractional ground cover: supporting ground cover monitoring for Australia. ABARES. Canberra documentDigital Related documentation HTML Robertson, P (1989). Spatial Transformations for Rapid Scan-Line Surface Shadowing. IEEE Computer Graphics and Applications, vol. 9. doi: 10.1109/38.19049 documentDigital Related documentation HTML sentinel_seasonal_surface_reflectance documentDigital Seasonal Surface Reflectance - Sentinel-2 WMS Flood, N. (2013) Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-dimensional Median). Remote Sens. 2013, 5(12), 6481-6500; doi:10.3390/rs5126481 documentDigital Related documentation HTML Zhu, Z. and Woodcock, C.E. (2012). Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment 118. doi:10.1016/j.rse.2011.10.028 documentDigital Related documentation HTML Sentinel 2 Level 1C Processing documentDigital Related documentation HTML Flood, N. (2017) Comparing Sentinel-2A and Landsat 7 and 8 Using Surface Reflectance over Australia. Remote Sens. 9, no. 7. doi:10.3390/rs9070659 documentDigital Related documentation HTML Sentinel 2 Data Product Quality Reports documentDigital Related documentation HTML Gill, T. et al (2017) A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series, International Journal of Remote Sensing, 38:3. doi: 10.1080/01431161.2016.1266112 documentDigital Related documentation HTML Muir, J. et al (2011), Field measurement of fractional ground cover: supporting ground cover monitoring for Australia. ABARES. Canberra documentDigital Related documentation HTML Robertson, P (1989). Spatial Transformations for Rapid Scan-Line Surface Shadowing. IEEE Computer Graphics and Applications, vol. 9. doi: 10.1109/38.19049 documentDigital Related documentation HTML ro-crate-metadata.json documentDigital HTML Unnamed resource documentDigital PNG