Printed from the TERN Data Discovery portalhttp://portal.tern.org.au/seasonal-surface-reflectance-australia-coverage/22020
155.109374,-9.622414 155.109374,-26.194877 128.847656,-26.194877 128.847656,-9.622414 155.109374,-9.62241422020
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.
This dataset was produced by the Joint Remote Sensing Research Program using data sourced from the European Space Agency (ESA) Copernicus Sentinel Progam.
This product captures surface reflectance at seasonal (ie three-monthly) time scales, forming a consistent time series from late 2015 - present. For applications that focus on vegetation changes, the fractional cover and ground cover products may be more suitable. For longer time periods, the Landsat-derived products may be more suitable.
Summary of processing: Sentinel 2 Level 1C downloaded > Masks applied > Medoid calculated.
Further details are supplied in the Methods section.
How to cite this collection:
Joint Remote Sensing Research Program (2021): Seasonal surface reflectance - Sentinel-2, JRSRP algorithm, Eastern and Central Australia coverage. Version 1.0.0. Terrestrial Ecosystem Research Network (TERN). Dataset. https://portal.tern.org.au/seasonal-surface-reflectance-australia-coverage/22020
This data can be accessed from the following websites
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