Title :
WindSat soil moisture algorithm and validation
Author :
Li Li ; Gaiser, Peter
Author_Institution :
Naval Res. Lab., Washington
Abstract :
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.
Keywords :
maximum likelihood estimation; moisture; remote sensing; soil; vegetation; AVHRR vegetation data; WindSat; algorithm validation; maximum likelihood estimation; soil moisture algorithm; vegetation water content; Geophysical measurements; Laboratories; Land surface; Microwave radiometry; Ocean temperature; Remote sensing; Sea measurements; Sea surface; Soil moisture; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423017
