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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352295
