Complementary of Linear Polarizations in C-Band SAR Imagery to Estimate Leaf Area Index for Maize and Winter Wheat

Leonard, Aline;Bériaux, Emilie;Defourny, Pierre
(2013) Proceedings of ESA Living Planet Symposium — Location: Edinburgh, UK (9.September.2013)

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Authors
  • Leonard, AlineUCLouvain
    Author
  • Bériaux, EmilieUCLouvain
    Author
  • Defourny, PierreUCLouvain
    Author
Abstract
(en) This paper presents results of LAI estimation from mulit-polarimetric SAR data assessed for maize and winter wheat crop. Taking advantage of a large multi-year data set of RADARSAT-2 and ground observations collected in Belgium and in The Netherlands, this research aims at improving a method that takes benefits of all linear polarizations to optimize the LAI estimations. The semi-empirical Water Cloud Model (WCM) is implemented to derive maize and winter wheat LAI values from each linear polarization. The cross-polarization and the VV polarization were found the most relevant polarization to retrieve maize and wheat LAI through this model. A combination of the retrieved LAI and their associated errors for each polarization is then computed to improve the LAI estimation.
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Leonard, A., Bériaux, E., & Defourny, P. (2013). Complementary of Linear Polarizations in C-Band SAR Imagery to Estimate Leaf Area Index for Maize and Winter Wheat. Proceedings of ESA Living Planet Symposium, Edinburgh, UK. https://hdl.handle.net/2078.5/202747