AMSR2 Soil Moisture Downscaling Using Temperature and Vegetation Data
AMSR2 Soil Moisture Downscaling Using Temperature and Vegetation Data is a scholarly work, published in 2018 in ''Remote Sensing''. The main subjects of the publication include Normalized Difference Vegetation Index, vegetation, radiometer, landslide, remote sensing, Moderate-Resolution Imaging Spectroradiometer, downscaling, environmental science, Advanced Very High Resolution Radiometer, Data assimilation, meteorology, water content, and soil moisture. The overall statistical variables of the downscaled AMSR2 SM validation R2, slope, RMSE and bias, demonstrate good accuracy.