Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines

20 Jan 2016Subit ChakrabartiTara BongiovanniJasmeet JudgeAnand RangarajanSanjay Ranka

In this study, a machine learning algorithm is used for disaggregation of SMAP brightness temperatures (T$_{\textrm{B}}$) from 36km to 9km. It uses image segmentation to cluster the study region based on meteorological and land cover similarity, followed by a support vector machine based regression that computes the value of the disaggregated T$_{\textrm{B}}$ at all pixels... (read more)

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