DocumentCode
2209765
Title
Estimating surface soil moisture over sahel using envisat radar altimetry
Author
Fatras, C. ; Frappart, F. ; Mougin, E. ; Grippa, M. ; Hiernaux, P.
Author_Institution
GET, Univ. de Toulouse, Toulouse, France
fYear
2012
fDate
22-27 July 2012
Firstpage
1239
Lastpage
1242
Abstract
This paper analyses the potential of the radar altimeter onboard ENVISAT for estimating surface soil moisture in the semi-arid Gourma region in Northern Mali. To this end, the relationships between observed backscattering coefficients derived from 4 retracking algorithms, and ground data are investigated. The considered period is 2002-2010. Results show a strong linear relationship between the backscattering coefficients and surface soil moisture measured at six different stations along the satellite track. The best results are obtained with the Ice-1 and Ice-2 algorithms. Vegetation effects are found to be small due both to the nadir-looking configuration of the radar altimeter and to the low vegetation cover. Finally, the relationship between soil moisture and normalized backscattering coefficient is used to retrieve soil moisture from the altimeter data. These results highlight the high capabilities of Ku-band altimeters to provide an accurate estimation of surface soil moisture in semiarid regions.
Keywords
height measurement; hydrological techniques; moisture; remote sensing by radar; soil; vegetation; AD 2002 to 2010; ENVISAT radar altimeter; ENVISAT radar altimetry; Ice-1 algorithm; Ice-2 algorithm; Ku-band altimeters; Sahel; backscattering coefficients; northern Mali; radar altimeter nadir looking configuration; retracking algorithms; semiarid Gourma region; surface soil moisture estimation; vegetation cover; vegetation effects; Altimetry; Backscatter; Moisture; Sea surface; Soil moisture; Spaceborne radar; ENVISAT; Sahel; altimetry; soil moisture;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351319
Filename
6351319
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