Sentinel-2 NDWI for SWOT Water Surface Elevation Masking

This dataset supports the computation of NDWI on Sentinel-2 imagery. It includes raw input data, a processing script, documentation, and clipped SWOT output products. Data contents: Sentinel-2 GeoTIFF (.tif) files: Surface reflectance products from Copernicus used to compute the Normalized Difference Water Index (NDWI). NDWI GeoTIFF (.tif) files: Derived NDWI layers used to generate a binary water mask for SWOT data filtering. SWOT WSE GeoTIFF (.tif) files: Final raster water surface elevation (WSE) products after: Filtering using SWOT quality flags, and Masking with the NDWI-derived water mask. Data sources and products Sentinel-2 imagery – Product: S2_SR, accessed via : https://code.earthengine.google.com/ Variables - B3: Green (560 nm) - B8: Near Infrared (842 nm) Time range Sentinel-2 acquisition dates: 2024-07-11, 2024-08-12, 2024-09-09 Spatial coverage Study area: Chilcotin River, British Columbia, Canada Approximate bounding box: [51.87084,-122.82549; 51.87078,-122.72822; 51.83110,-122.72724; 51.83110,-122.82544] Script files included: GEE_NDWI_Sentinel2.js (Google Earth Engine JavaScript script)Computes NDWI from Sentinel-2 surface reflectance imagery in GEE, and exports results as GeoTIFF.↳ Documented in: README_NDWI.md