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Journal Article: ID no. (ISBN etc.):  0196-2892 BibTeX citation key:  Zribi2008a
Zribi, M., André, C. & Decharme, B. (2008) A Method for Soil Moisture Estimation in Western Africa Based on the ERS Scatterometer. IN Geoscience and Remote Sensing, 46. 438–448.
Last Edited by: Deleted user 2008-10-03 11:59:16
 B  
Categories: Water cycle
Keywords: LOP - EOP, Satellites, Vegetation
Creators: André, Decharme, Zribi
Collection: Geoscience and Remote Sensing
Bibliographies: Prior150410

Peer reviewed
Number of views:  1212
Popularity index:  64.13%
Maturity index:  published

 
Abstract
The analysis of feedback phenomena, which occur between continental surfaces and the atmosphere, is one of the keys to an improved understanding of African monsoon dynamics. For this reason, the monitoring of surface parameters, particularly soil moisture, is very important. This paper presents a new methodology for the estimation of surface soil moisture over Western Africa based on the data provided by the European Remote Sensing wind scatterometer instrument, in which an empirical model is used to estimate volumetric soil moisture. This approach takes into account the effects of vegetation and soil roughness in the soil moisture estimation process. The proposed estimations have been validated using different methods, and a good degree of coherence has been observed between satellite estimations and ground truth measurements over the Banizambou site in Niger. Moisture and rainfall estimations for the same site are shown to be strongly correlated. Comparison with the multimodel analysis product provided by the Global Soil Wetness Project, Phase 2, indicates that their estimations are well correlated, although land surface models provide slightly overestimated levels of soil moisture.
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Last Edited by: Deleted user    Added by: Deleted user