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Downscaling SMOS-Derived Soil Moisture Using MODIS Visible/Infrared Data
2011
IEEE Transactions on Geoscience and Remote Sensing
A downscaling approach to improve the spatial resolution of Soil Moisture and Ocean Salinity (SMOS) soil moisture estimates with the use of higher resolution visible/infrared (VIS/IR) satellite data is presented. The algorithm is based on the so-called "universal triangle" concept that relates VIS/IR parameters, such as the Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (T s ), to the soil moisture status. It combines the accuracy of SMOS observations with the high
doi:10.1109/tgrs.2011.2120615
fatcat:vr3tewapnfbprdoijeysojx2kq