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Proceedings Paper

Method for extraction of quantitative information using remote sensing data of underground coal fire areas and its application
Author(s): Fu-xing Dang; Zhi-zhong Li; Sheng-qing Xiong; Hong-bin Fang; Ri-hong Yang
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Paper Abstract

Underground coal-bed spontaneous combustion is a dynamic process with complex physical, chemical and environmental interaction. The anomalous information on remote sensing spatial, spectral and thermal indexes is very meaningful for detecting underground coal fires and assessing its effects on environment. This paper, based on a series of advanced technical datum in Wu Da coalfield areas located in Inner-Mongolia, such as ground spectral testing, thermal infrared multispectral indexes, and high-spatial resolution images, analyzes the correlation between the underground coal-bed burning conditions and the remote sensing information. Besides, it provides a further discussion on the application potential for quantitative feature extraction of underground coal fire.

Paper Details

Date Published: 24 November 2008
PDF: 10 pages
Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 712318 (24 November 2008); doi: 10.1117/12.816206
Show Author Affiliations
Fu-xing Dang, China Aero Geophysical Survey and Remote Sensing Ctr. for Land and Resources (China)
Zhi-zhong Li, China Aero Geophysical Survey and Remote Sensing Ctr. for Land and Resources (China)
Sheng-qing Xiong, China Aero Geophysical Survey and Remote Sensing Ctr. for Land and Resources (China)
Hong-bin Fang, China Aero Geophysical Survey and Remote Sensing Ctr. for Land and Resources (China)
Ri-hong Yang, China Aero Geophysical Survey and Remote Sensing Ctr. for Land and Resources (China)


Published in SPIE Proceedings Vol. 7123:
Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China
Qingxi Tong, Editor(s)

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