Method for extraction of quantitative information using remote sensing data of underground coal fire areas and its application

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.