Research Project:
USING REMOTE SENSING & MODELING FOR EVALUATING HYDROLOGIC FLUXES, STATES, & CONSTITUENT TRANSPORT PROCESSES WITHIN AGRICULTURAL LANDSCAPES
Title: WindSat Soil Moisture Algorithm and Validation
Authors
 | Li, L - NRL | | Gaiser, P - NRL | |
Jackson, Thomas
| | Bindlish, R - NRL | | Du, J - VISITING SCIENTIST |
Submitted to: Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: September 13, 2007
Publication Date: November 1, 2007
Citation: Li, L., Gaiser, P., Jackson, T.J., Bindlish, R., Du, J. 2007. WindSat soil moisture algorithm and validation. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 23-27, 2007, Barcelona, Spain. p. 1188-1191.
Technical Abstract:
A WindSat land algorithm that retrieves global soil moisture and vegetation water content simultaneously using the physically-based multi-channel maximum-likelihood estimation was developed and evaluated. The retrievals agree well with soil moisture climatology, and in-situ data collected from a series of large scale Soil Moisture Experiments (SMEX) over diverse soil moisture and vegetation conditions. Spatial patterns of the retrieved soil moisture compare well with precipitation patterns; WindSat retrieved vegetation water contents are also consistent with Green Vegetation Fraction data products derived from the AVHRR. The approach has the potential to satisfying soil moisture science requirements of 6% under low to moderate vegetation conditions.
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