DocumentCode :
3307815
Title :
Feasibility on the use of JERS-1/SAR data for soil moisture prediction models
Author :
Kux, Hermann J H ; Maximo, O.A.
Author_Institution :
INPE, Sao Paulo, Brazil
Volume :
5
fYear :
1998
fDate :
6-10 Jul 1998
Firstpage :
2600
Abstract :
This study presents an evaluation on the use of SAR/JERS-1 data for soil moisture prediction models, comparing values obtained using these data with those obtained during field campaign. The authors used the models presented by P.C. Dubois et al. and Y. Oh et al., which relate the backscatter coefficient with soil parameters, such as roughness and moisture. It was impossible to directly invert the model from Y. Oh et al. when including the complex number function. The model from P.C. Dubois et al., was inverted, but it became necessary to insert estimated values of roughness (RMS height) to permit its use with monopolarized images. The results can be considered as adequate
Keywords :
backscatter; hydrological techniques; moisture measurement; radar cross-sections; radar polarimetry; remote sensing by radar; soil; spaceborne radar; synthetic aperture radar; JERS-1; SAR; backscatter coefficient; complex number function; hydrology; measurement technique; radar remote sensing; radar scattering; roughness; soil moisture; soil moisture prediction model; spaceborne radar; synthetic aperture radar; Calculus; Calibration; Equations; Extraterrestrial measurements; Fresnel reflection; Moisture measurement; Predictive models; Soil measurements; Soil moisture; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
Type :
conf
DOI :
10.1109/IGARSS.1998.702291
Filename :
702291
Link To Document :
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