DocumentCode
576525
Title
Analysis of backscattering modelling improvements for soil roughness and moisture estimation
Author
Zribi, M. ; Dechambre, M. ; Baghdadi, N. ; Morvan, A. Le
Author_Institution
IRD/CNES, CESBIO, Univ. Paul Sabatier, Toulouse, France
fYear
2012
fDate
22-27 July 2012
Firstpage
5786
Lastpage
5789
Abstract
The objective of this paper is to present the contribution of a new dielectric constant characterization for the modelling of radar backscattering behavior. Our analysis is based on a large number of radar measurements acquired during different experimental campaigns (Orgeval´94, Pays de Caux´98, 99). We propose a dielectric constant model, based on the combination of contributions from both soil and air fractions. This modelling clearly reveals the joint influence of the air and soil phases, in backscattering measurements over rough surfaces with large clods. A relationship is established between the soil fraction and soil roughness, using the Integral Equation Model (IEM), fitted to real radar data. Finally, the influence of the air fraction on the linear relationship between moisture and the backscattered radar signal is discussed.
Keywords
backscatter; integral equations; moisture; permittivity; radar; soil; AD 1994; AD 1998; AD 1999; IEM; Orgeval; Pays de Caux; air fraction; air phase; backscattering modelling improvement; dielectric constant characterization; dielectric constant model; integral equation model; moisture estimation; radar backscattering behavior modelling; radar data; radar measurement; radar signal backscattering; soil fraction; soil phase; soil roughness; Atmospheric modeling; Backscatter; Dielectric constant; Radar; Rough surfaces; Soil; Surface roughness; dielectric constant; modelling; moisture; radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352295
Filename
6352295
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