Remote Sensing Applications and Decision Support

Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops

[+] Author Affiliations
Julie Betbeder, Remy Fieuzal, Frederic Baup

Université de Toulouse, Centre d’Etudes Spatiales de la Biosphère (CESBIO), UMR 5126 UPS-CNES-CNRS-IRD 18 Avenue Edouard Belin, 24 rue d’Embaques, 32000 AUCH, France

Yannick Philippets

Université de Toulouse, Centre d’Etudes Spatiales de la Biosphère (CESBIO), UMR 5126 UPS-CNES-CNRS-IRD 18 Avenue Edouard Belin, 24 rue d’Embaques, 32000 AUCH, France

Ecole Nationale des Sciences Géographiques (ENSG), 6-8 avenue Blaise Pascal, Cité Descartes, Champs-sur-Marne, 77455 Marne-la-Vallée Cedex 2, France

Laurent Ferro-Famil

Université de Rennes 1, IETR, Campus Beaulieu-bât 11D, 263, av du général Leclerc, CS 74205, 35042 Rennes Cedex, France

J. Appl. Remote Sens. 10(2), 026020 (May 11, 2016). doi:10.1117/1.JRS.10.026020
History: Received January 12, 2016; Accepted April 14, 2016
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Abstract.  This paper aims to evaluate the contribution of multitemporal polarimetric synthetic aperture radar (SAR) data for winter wheat and rapeseed crops parameters [height, leaf area index, and dry biomass (DB)] estimation, during their whole vegetation cycles in comparison to backscattering coefficients and optical data. Angular sensitivities and dynamics of polarimetric indicators were also analyzed following the growth stages of these two common crop types using, in total, 14 radar images (Radarsat-2), 16 optical images (Formosat-2, Spot-4/5), and numerous ground data. The results of this study show the importance of correcting the angular effect on SAR signals especially for copolarized signals and polarimetric indicators associated to single-bounce scattering mechanisms. The analysis of the temporal dynamic of polarimetric indicators has shown their high potential to detect crop growth changes. Moreover, this study shows the high interest of using SAR parameters (backscattering coefficients and polarimetric indicators) for crop parameters estimation during the whole vegetation cycle instead of optical vegetation index. They particularly revealed their high potential for rapeseed height and DB monitoring [i.e., Shannon entropy polarimetry (r2=0.70) and radar vegetation index (r2=0.80), respectively].

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Julie Betbeder ; Remy Fieuzal ; Yannick Philippets ; Laurent Ferro-Famil and Frederic Baup
"Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops", J. Appl. Remote Sens. 10(2), 026020 (May 11, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026020


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