Land Cover Change Detection in Coal Mining Area Using BJ-1 Small Satellite Remote Sensing Data

doi:10.6046/gtzyyg.2011.03.26

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Abstract

In order to evaluate the performance of monitoring land cover change in mining areas by BJ-1 small satellite remote sensing data, the authors made an experimental and comparative study of several change detection methods, with the east coal mining district of Xuzhou City in Jiangsu Province as the study area. Direct change detection methods based on image information operation and image information transformation as well as the post-classification comparison method were adopted in the experiment. The results show that the change vector analysis can attain the highest accuracy, followed by the method of image ratio method, image differencing and multi-band principal component analysis. Through the change detection process, several areas with great land cover change were detected, such as Qingshanquan, Hanqiao and Dongzhuang mining areas in northern east mining district and Dahuangshan mining area in southern east mining district.

Keywords Vegetation coverage Linear spectral unmixing(LSU) Ground spectral reflectance Soil moisture Landsat TM image

:	TP 79
	X 835

Issue Date: 07 September 2011

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	ZHANG Zhi-xin
	DENG Ru-ru
	LI Hao
	CHEN Lei
	CHEN Qi-dong
	HE Ying-Qing

Cite this article:

ZHANG Zhi-xin,DENG Ru-ru,LI Hao, et al. Land Cover Change Detection in Coal Mining Area Using BJ-1 Small Satellite Remote Sensing Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(3): 146-150.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.03.26 OR https://www.gtzyyg.com/EN/Y2011/V23/I3/146

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