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Remote Sensing Investigation of Coal Mines in Xuanwei of Yunnan Province for Their Development |
NAN Jun-xiang1, ZHAO Zhi-fang2, HONG You-tang1, DU Rui-ling1 |
1. School of Land Science and Technology, China University of Geosciences, Beijing 100083, China; 2. School of Resource Environment and Earth Science, Yunnan University, Kunming 650091, China |
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Abstract In this study,the remote sensing survey was conducted for the coal mines in Xuanwei city (Yangchang,Dongshan,Haidai and Tianba) of Yunnan province. Based on the main data comprising the worldview-2 remote sensing image acquired in 2010,field verification,mining-right data and geological data,and supported by GIS,the authors systematically established the remote sensing interpretation signs of coal mines to interpret the mining situation. The results show that the distribution of coal-mining cave mouths is distinctly restricted in major coal-bearing strata and faults, and the cross-border mining cave mouths are commonly seen. The mining administration and management departments should take full account of the landform and geological conditions of the mines, change the scope of the mining rights for cross-border mines to promote the all-round improvement of the mining order.
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Keywords
remote sensing imagery
automatic registration
features from accelerated segment test(FAST)
speeded-up robust features(SURF)
gaussian pyramid
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Issue Date: 03 June 2012
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