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
Link To Document :
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