Gap filling cloudy sentinel-2 ndvi and ndwi pixels with multi-frequency denoised c-band and l-band synthetic aperture radar (sar), texture, and shallow learning techniques

HIGHLIGHTS

• who: Kristofer Lasko from the Geospatial Research Laboratory, Engineer Research and Development Center, Alexandria, VA, USA have published the paper: Gap Filling Cloudy Sentinel-2 NDVI and NDWI Pixels with Multi-Frequency Denoised C-Band and L-Band Synthetic Aperture Radar (SAR), Texture, and Shallow Learning Techniques, in the Journal: (JOURNAL) of 24/08/2022
• what: The authors evaluated Sentinel-1 Uninhabited Aerial Vehicle SAR (UAVSAR) and texture for gap filling using efficient machine learning regression algorithms across three seasons. This study evaluates the predictive performance of multi-frequency C-band and L-band SAR . . .
  

   

  

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