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Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces

Authors
Oh, Y
Issue Date
Mar-2004
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
backscattering coefficient; direct inversion model; semiempirical polarimetric model; soil moisture; surface roughness
Citation
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.42, no.3, pp.596 - 601
Journal Title
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume
42
Number
3
Start Page
596
End Page
601
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25791
DOI
10.1109/TGRS.2003.821065
ISSN
0196-2892
Abstract
A semiempirical polarimetric backscattering model for bare soil surfaces is inverted directly to retrieve both the volumetric soil moisture content M-upsilon and the rms surface height s from multipolarized radar observations. The rms surface height s and the moisture content M-upsilon can be read from inversion diagrams using the measurements of the cross-polarized backscattering coefficient sigma(vh)(0) and the copolarized ratio p(= sigma(hh)(0)/sigma(vv)(0)). Otherwise, the surface parameters can be estimated simply by solving two equations (sigma(vh)(0) and p) in two unknowns (M-upsilon and s). The inversion technique has been applied to the polarimetric backscattering coefficients measured by ground-based polarimetric scatterometers and the Jet Propulsion Laboratory airborne synthetic aperture radar. A good agreement was observed between the values of surface parameters (the rms height s, roughness parameter ks, and the volumetric soil moisture content M-upsilon) estimated by the inversion technique and those measured in situ.
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