WindSat Soil Moisture Algorithm and Validation

We present the WindSat land algorithm that retrieves global soil moisture and vegetation water content simultaneously using the physically-based multi-channel maximum-likelihood estimation. The retrieval results agree well with soil moisture climatology, in-situ observations, precipitation patterns and the AVHRR vegetation data, potentially satisfying soil moisture science requirements of 6% under low to moderate vegetation conditions.