AWARDS Harmonized Landsat Sentinel-2 (HLS) 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 weekly HLS ARD using python API. There are 4 UTM tiles (14TMK, 14TML, 14TNK, 14TNL) of HLS data downloaded and preprocessed. These preprocessed UTM tiles are then used to generate a weekly composites for each band, and are reprojected into 1-degree tiling system (N40W100). 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 HLS ARD sample data C30.med.zip: median weekly composite in UTM tiles C30.med.deg.zip: median weekly composite in 1-degree geographical tiles C30.med.deg.fill.zip: gap-filled median weekly composite in 1-degree geographical tiles C30.med.deg.fill.met.zip: temporal metrics derived from gap-filled median weekly composite in 1-degree geographical tiles