Paper
24 October 2012 Assessment of RADARSAT-2 quad-polarization SAR data in rice crop mapping and yield estimation
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Abstract
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shenbin Yang, Shuanghe Shen, and 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); https://doi.org/10.1117/12.929252
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Cited by 3 scholarly publications.
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KEYWORDS
Polarization

Synthetic aperture radar

Backscatter

Associative arrays

Yield improvement

Data modeling

Optimization (mathematics)

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