Rice identification using TerraSAR-X data

Lin Guo; Zhiyuan Pei; Songling Zhang; Qingfa Wang; Heather McNairn; Jiali Shang; Xianfeng Jiao

doi:10.1117/12.910396

15 August 2011 Rice identification using TerraSAR-X data

Lin Guo, Zhiyuan Pei, Songling Zhang, Qingfa Wang, Heather McNairn, Jiali Shang, Xianfeng Jiao

Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 82030J (2011) https://doi.org/10.1117/12.910396
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China

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.

Citation Download Citation

Lin Guo, Zhiyuan Pei, Songling Zhang, Qingfa Wang, Heather McNairn, Jiali Shang, and Xianfeng Jiao "Rice identification using TerraSAR-X data", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030J (15 August 2011); https://doi.org/10.1117/12.910396

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