DocumentCode
352055
Title
Soil moisture inversion from ERS and SIR-C imagery at the Zwalm catchment, Belgium
Author
Verhoest, Niko E C ; Hoeben, Rudi ; De Troch, Francois P. ; Troch, Peter A.
Author_Institution
Lab. of Hydrology & Water Manage., Ghent Univ., Belgium
Volume
5
fYear
2000
fDate
2000
Firstpage
2041
Abstract
Several models have been presented in the previously which should allow soil moisture inversion from bare soil radar backscattering. Three widely used models (i.e., the IEM (Fung et al. 1992), the models of Dubois et al. (1995) and of Oh et al. (1992)) have been applied to ERS and SIR-C data obtained over the Zwalm catchment in Belgium. Results show an inability of the models to estimate surface soil moisture accurately through direct inversion. However, applying the method of effective roughness parameters (Su et al. 1997) on the multi-temporal ERS tandem mission data resulted in a significant improvement of the soil moisture retrieval. The same method applied to multi-frequency SIR-C data was not able to improve the estimations. It is believed that the inversions suffer from the high soil roughness sensitivity of the backscattering at higher incidence angles
Keywords
hydrological techniques; inverse problems; moisture; remote sensing by radar; soil; spaceborne radar; Belgium; ERS imagery; SIR-C imagery; Zwalm catchment; backscattering; effective roughness parameters; multi-temporal ERS tandem mission data; soil moisture inversion; soil moisture retrieval; soil roughness sensitivity; Backscatter; Dielectric constant; Dielectric measurements; Information retrieval; Laboratories; Rough surfaces; Soil moisture; Surface roughness; Surface topography; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.858261
Filename
858261
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