DocumentCode
1248427
Title
An empirical model for interpreting the relationship between backscattering and arid land surface roughness as seen with the SAR
Author
Deroin, Jean-paul ; Company, Agnès ; Simonin, André
Author_Institution
Dept. Geophys. et Imagerie Geol., BRGM, Orleans, France
Volume
35
Issue
1
fYear
1997
fDate
1/1/1997 12:00:00 AM
Firstpage
86
Lastpage
92
Abstract
The nature of the surface in a flat arid zone located in the western Sahara desert was studied and its roughness parameters defined. The main geological units were compared with backscattering data from ERS-1 images. Results showed a close correlation between the backscattering coefficient, σ0, and the maximum height, hmax, of the rocks making up the arid landscape. The simplified relationship σ0=4.63.1og hmax-15.29 (with hmax in cm and σ0 in dB) was established from field measurements, giving an r2 of about 88%. This empirical relationship is confirmed by another close relation between σ0 and the statistical parameter s, the height standard deviation. The advantage of hmax is that it can be extracted for any site, whatever its roughness may be. The spatial distribution of the rock facets and the geometric characteristics of the incidence angle of the radar signal seem to explain the results
Keywords
backscatter; electromagnetic wave scattering; geomorphology; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS-1 image; North Africa; SAR; Sahara desert; arid land surface roughness; backscatter; backscattering; empirical model; flat arid zone; geological unit; geology; geomorphology; geophysical measurement technique; land surface; landscape; maximum height; radar remote sensing; radar scattering; radar theory; rock facet; rough surface; roughness parameters; terrain mapping; topography; Backscatter; Geologic measurements; Geology; Humidity; Land surface; Radar imaging; Rough surfaces; Surface roughness; Testing; Vegetation mapping;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.551937
Filename
551937
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