DocumentCode
2667153
Title
WindSat soil moisture algorithm and validation
Author
Li Li ; Gaiser, Peter
Author_Institution
Naval Res. Lab., Washington
fYear
2007
fDate
23-28 July 2007
Firstpage
1188
Lastpage
1191
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IGARSS.2007.4423017
Filename
4423017
Link To Document