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REMOTE SENSING FOR LAND & RESOURCES    2015, Vol. 27 Issue (4) : 115-121     DOI: 10.6046/gtzyyg.2015.04.18
Technology Application |
A discussion on comprehensive governance of mine environment based on high resolution remote sensing data: A case of Maoniuping REE deposit, Mianning County
YANG Xianhua1,2, HUANG Jie1, TIAN Li1,2, LIU Zhi1, HAN Lei1,2
1. Sichuan Institute of Geological Survey, Chengdu 610081, China;
2. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China
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Aimed at solving the vital social problem of environmental governance in mining areas, the authors used high resolution remote sensing (RS) data to study the comprehensive environmental governance of mines, with the Maoniuping REE(rare-earth elements) deposit in Mianning County of southwestern Sichuan as the study area. The method combining RS interpretation on satellite images of SPOT-6 and field investigation was utilized to ascertain site area, geological hazard, environment pollution, tailings place, restorative governance and mining area situation. Based on the comprehensive analytical method for mine environment, the authors analyzed the RS investigation result of rare earth ore in the Maoniuping deposit. On such a basis, governance measures and suggestions were proposed following the process of regional division for mine governance. The results show that the method proposed in this paper can bring about objective, timely and accurate results, which are helpful to regionalization of mining area governance and recovery. The results achieved by the authors are of valuable significance for the stimulation of the application of remote sensing monitoring results to mining areas.

Keywords leaf area index(LAI)      remote sensing inversion      cross-validation      wheat     
:  TP79  
Issue Date: 23 July 2015
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CHEN Huailiang
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LI Ying
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REN Zhe,CHEN Huailiang,WANG Lianxi, et al. A discussion on comprehensive governance of mine environment based on high resolution remote sensing data: A case of Maoniuping REE deposit, Mianning County[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 115-121.
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