Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..291p&link_type=abstract
In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl
Statistics
Applications
2
Agriculture, Land Cover
Scientific paper
This paper describes a theoretical study on radar backscatter from a wheat canopy, based on experimental data. The objective is to interpret C-band SAR data provided by ERS, RADARSAT, and the forthcoming ENVISAT. In a first step, ERS data and scatterometer data over the growth season at two test sites are compared with results of a first order coherent modelling. For fully-developed wheat canopies, however, this type of modelling fails to correctly estimate the attenuation of the incident wave within the canopy, resulting in a predicted backscattering coefficient one order of magnitude lower than that observed by the SAR system. The main reason for these observed discrepancies between theory and observation is identified to be the sparse medium assumption in the original model, an assumption which does not apply to fully-grown wheat canopies. Accordingly, we propose higher order modelling based on numerical solution of multiple scattering Foldy-Lax equation. The new modelling improves the backscatter estimate for the both test site.
D'Alessio Angelo
Gatti Anna-Maria
Le Toan Thuy
Mattia Francesco
Notarnicola Claudia
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