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Three ET datasets were generated to evaluate the potential integration of Landsat and Sentinel-2 data for improved ET mapping. The first ET dataset was generated by linear interpolation (Lint) of Landsat-based ET fraction (ETf) images of before and after the selected image dates. The second ET dataset was generated using the regular SSEBop approach using the Landsat image only (Lonly). The third ET dataset was generated from the proposed Landsat-Sentinel data fusion (L-S) approach by applying ETf images from Landsat and Sentinel. The scripts (two) used to generate these three ET datasets are included – one script for processing SSEBop model to generate ET maps from Lonly and another script for generating ET maps...
    map background search result map search result map Landsat and Sentinel-2 satellite data fusion-derived evapotranspiration maps of Palo Verde Irrigation District, California, USA Landsat and Sentinel-2 satellite data fusion-derived evapotranspiration maps of Palo Verde Irrigation District, California, USA