Application of domestic high-resolution satellite imagery data to the investigation of surface collapse in the Tiechanggou coal mine of Xinjiang

doi:10.6046/gtzyyg.2017.s1.22

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Abstract The problem which has become serious over time is coal mine zone’s surface collapse and ground crevice. Therefore, making a thorough investigation of the type, size and distribution of geological disasters in the mining area and analyzing the causes, damage degree and development trend of the geological disasters are very important for the green mine construction. With the ZY1-02C and GF-1/2 data as the basis, on the basis of the characteristics of known subsidence area and the establishment of remote sensing imagery interpretation system, and by using the methods of human-computer interactive interpretation, the authors delineated the boundary, the direction and the influence area of the ground collapse area of the Tiechanggou mine in Xinjiang. The analysis shows that the data obtained by domestic high-resolution satellites of ZY1-02C HR, GF-1 and GF-2 can effectively guarantee the remote sensing precise identification of large and medium-sized ground subsidence in the mining area. The domestic high-resolution satellite ZY1-02C and GF-1 can meet the 1∶50 000 scale, and the GF-2 satellite remote sensing data can meet the 1∶25 000 scale. With the home-made satellites of China, the data resources are abundant, which provide important data guarantee for remote sensing monitoring of mine geological disasters in the future.

Keywords GF-1 multi-camera mosaic imaging self-adaptive matching geometric offset statistics

Issue Date: 24 November 2017

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	HAN Jie
	XIE Yong
	WU Guoxi
	YU Zhengzheng
	QIAN Yuelei
	GUAN Xiaoguo

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HAN Jie,XIE Yong,WU Guoxi, et al. Application of domestic high-resolution satellite imagery data to the investigation of surface collapse in the Tiechanggou coal mine of Xinjiang[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 132-136.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.s1.22 OR https://www.gtzyyg.com/EN/Y2017/V29/Is1/132

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