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Proceedings Paper

Rice identification using TerraSAR-X data
Author(s): Lin Guo; Zhiyuan Pei; Songling Zhang; Qingfa Wang; Heather McNairn; Jiali Shang; Xianfeng Jiao
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Paper Abstract

Most of China's rice production is located in the southern provinces of the country where frequent cloudy conditions hinder the successful acquisition of optical imagery. Small field sizes and complex planting patterns pose additional challenges to crop mapping using remote sensing approaches. High resolution radar data are most suitable for operational monitoring of crops in this region of China. In this study, the suitability of high-resolution TerraSAR-X StripMap data (6 m resolution) for identification of rice was investigated for a site in Xuwen, Guangdong Province, China. An integrated decision tree and object-oriented classification approach was used. The results showed that higher rice identification accuracies can be obtained using multi-temporal TerraSAR-X data at the tillering, jointing and flowering periods. Both the VV and VH polarizations provided accurate rice identification.

Paper Details

Date Published: 16 August 2011
PDF: 7 pages
Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030J (16 August 2011); doi: 10.1117/12.910396
Show Author Affiliations
Lin Guo, Ministry of Agriculture of China (China)
Zhiyuan Pei, Ministry of Agriculture of China (China)
Songling Zhang, Ministry of Agriculture of China (China)
Qingfa Wang, Ministry of Agriculture of China (China)
Heather McNairn, Agriculture and Agri-Food Canada (Canada)
Jiali Shang, Agriculture and Agri-Food Canada (Canada)
Xianfeng Jiao, Agriculture and Agri-Food Canada (Canada)


Published in SPIE Proceedings Vol. 8203:
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing
Qingxi Tong; Xingfa Gu; Boqin Zhu, Editor(s)

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