AWARDS Sentinel-2 Analysis Ready Data (ARD) Sample Dataset V1

Overview This is the sample dataset to run the Jupyter notebook tutorials in the AWARDS (Automated Workflow for Analysis Ready Data from Satellite imagery) system. The example shows how to generate the 10-day Sentinel-2 ARD using python API. There are 4 UTM tiles (14TMK, 14TML, 14TNK, 14TNL) of Sentinel-2 data downloaded and preprocessed. These preprocessed UTM tiles are then used to generate a 10-day composites for each band, and are reprojected into 1-degree tiling system (N40W100). The dataset also provides reference data, training data, and prediction results for an example of 10-m crop classification application, using the Sentinel-2 ARD and machine learning. Shapefiles (shp.zip) global_1_deg: global 1-degree individual tiles Global_Degree_Tiles: global in-degree tiles in a single shapefile Global_UTM_Tiles: global UTM tiles in a single shapefile Sentinel-2 ARD sample data 2022.all.obs.med.comp.zip: median 10-day composite of all observations (cloudy and clear-sky observations) in UTM tiles 2022.all.obs.med.comp.deg.zip: median 10-day composite of all observations (cloudy and clear-sky observations) in 1-degree geographical tiles 2022.nbar.med.comp.zip: median 10-day composite of NBAR imagery in UTM tiles 2022.nbar.med.comp.deg.zip: median 10-day composite of NBAR imagery in 1-degree geographical tiles 2022.nbar.med.comp.deg.fill.zip: gap-filled median 10-day composite of NBAR imagery in 1-degree geographical tiles 2022.nbar.med.comp.deg.fill.met.zip: temporal metrics derived from gap-filled median 10-day composite of NBAR imagery in 1-degree geographical tiles 2022.valid.obs.med.comp.zip: median 10-day composite of valid observations (clear-sky observations) in UTM tiles 2022.valid.obs.med.comp.deg.zip: median 10-day composite of valid observations (clear-sky observations) in 1-degree geographical tiles Crop classification reference.zip: 10-m corn and soybean map over the selected 1-degree geographical tile train.zip: training data predict.zip: prediction results