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The soil moisture (SM) content plays an important role in hydrology, agronomy, and meteorology. We propose to estimate the type of soil moisture content. This estimation is modeled as a Markov random field over which a regression of NDVI and LST MODIS data is constructed into Gaussian distributions. Under this model, the estimation of SM types is achieved by the maximum a posteriori (MAP) segmentation...
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