24 October 2012 Assessment of RADARSAT-2 quad-polarization SAR data in rice crop mapping and yield estimation
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This paper was to assess the reliability of RADARSAT-2 quad-polarization SAR data in rice mapping and yield estimation. Five scenes of RADARSAT-2 images were acquired in the rice season of 2011 in Jiangsu Province, China. Ground experiments were conducted in accordance with the acquisition dates. For rice mapping, optimal dual-polarization combination was obtained by ratio change detection. The accuracy of rice mapping by HV/HH reaches 79.2% and by VV/HH reaches 84.9%. For rice yield estimation, an improved scheme based on assimilation method has been put forward. ORYZA2000 model was coupled with an empirical rice backscattering model to simulate the dual-polarization ratios. SCE-UA optimization algorithm is employed to determine the optimal set of input parameters during the re-initialization process. As a result, an improved accuracy has been confirmed.
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Shenbin Yang, Shenbin Yang, Shuanghe Shen, Shuanghe Shen, Xiaoyan Zhao, Xiaoyan Zhao, } "Assessment of RADARSAT-2 quad-polarization SAR data in rice crop mapping and yield estimation", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 851306 (24 October 2012); doi: 10.1117/12.929252; https://doi.org/10.1117/12.929252

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