Paper Info
Title
A Two Parameter Backscattering Model For Bare Soil Surfaces: From Theory To Application
Abstract
To make use of the multiple imaging capabilities of ENVISAT ASAR, theoretical backscattering models can help to L improve surface parameter inversion. The surface roughness characterization is crucial in this context. Commonly used surface roughness descriptors are the rms height and autocorrelation length. Empirical comparisons with SAR imagery show that these descriptors result in an ambiguous surface roughness parameterisation. A theoretical, two parameter surface backscattering model based on IEM simulations is proposed, where the surface roughness is described by a single static parameter. It will be shown that the surface roughness can be inverted using multitemporal ENVISAT ASAR imagery. Finally the accuracy of the proposed model is validated and the applicability of the model will be outlined.
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1368528
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET
Keywords
Field
DocType
surface scattering model, model calibration, IEM, ENVISAT ASAR, soil moisture, bare soils
Spaceborne radar,Empirical comparison,Computer science,Synthetic aperture radar,Inversion (meteorology),Backscatter,Remote sensing,Integral equation model,Surface roughness,Autocorrelation
Conference
ISSN
Citations 
PageRank 
2153-6996
2
0.58
References 
Authors
6
2
Name
Order
Citations
PageRank
Alexander Löw1113.40
Wolfram Mauser223335.12