DocumentCode :
2196510
Title :
An experimental and theoretical study on the sensitivity of cross-polarized backscatter to soil moisture
Author :
Balenzano, Anna ; Mattia, Francesco ; Satalino, Giuseppe ; Ouellette, Jeffrey ; Johnson, Joel T.
Author_Institution :
Ist. di Studi sui Sist. Intelligenti per l´´Autom. (ISSIA), Bari, Italy
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3411
Lastpage :
3414
Abstract :
The objective of this paper is to investigate the sensitivity of cross-polarized backscatter to soil moisture content (mv) using experimental and simulated data. The experimental data set consists of co- and cross- C- and L band radar and ground data collected over bare fields by the University of Michigan in 1992 and during the Italian ENVISAT 2003 campaign over Matera (Italy), and over wheat fields during the European Space Agency AgriSAR 2006 and 2009 campaigns over DEMMIN (Germany) and Flevoland (The Netherlands), respectively. The simulated data set has been generated by merging a first-order Radiative Transfer model with a second-order Small Slope Approximation model. Preliminary results show that the model can reproduce the observed sensitivity of cross-polarized backscatter to mv. However, the modelled cross-polarized backscatter is biased with respect to the observations, suggesting that a single scale soil roughness is not sufficient to reproduce the backscatter level observed over fairly smooth surfaces.
Keywords :
backscatter; moisture; radiative transfer; remote sensing by radar; soil; AD 1992; AD 2003; AD 2006; AD 2009; AgriSAR; C-band radar; DEMMIN; European Space Agency; Flevoland; Germany; Italian ENVISAT campaign; Italy; L-band radar; Matera; Netherlands; cross polarized backscatter; first order Radiative Transfer model; second order Small Slope Approximation model; sensitivity; soil moisture; Backscatter; Data models; Radar; Rough surfaces; Sensitivity; Soil; Surface roughness; Cross-polarized backscatter; soil moisture;
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.2012.6350688
Filename :
6350688
Link To Document :
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