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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Collections - College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles
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