Title :
Study of remote sensing index indicators about the mine environment evaluation
Author :
Chun, Yan ; Ran, Liu ; Sutai, Liu ; Wu Iei ; Suhong, Liu
Author_Institution :
Center of Geol. Environ. Survey, Jiangxi, China
Abstract :
The mine development becomes somewhat a dilemma. On one hand, it provides the resources people need, while on the other hand, it results in the environmental problem and people are suffering from the diseases caused by the degradation of the environment. The situation is getting so bad in the areas with higher severity of the environment pollution that it becomes difficult in providing the drinkable water and food supplies and even worse, the endemics and the genetic diseases come on. Therefore, it becomes more and more important about how to perform the environment surveillance. One of the solutions is to figure out the range of the environmental changes based upon the investigation and the analysis about the series of the index indicators about the environmental changes. With the research conducted at Dexing Mine, Jiangxi Province, the following parameters are defined in this paper as the index indicators: the water color, the Mine acreage and the mineral residues locations, and the variation of the plant coverage within 1 Km around the water system. The methods to calculate these index indicators are also illustrated in this paper, which are based on the primary geographical information and the remote sensing data. In addition, the spatial characteristics of these index indicators are finely analyzed. All these information are helpful to the risk analysis about the mine development.
Keywords :
environmental degradation; geographic information systems; mining; remote sensing; China; Dexing Mine; Jiangxi Province; Mine acreage; drinking water; endemic/genetic diseases; environmental degradation; environmental pollution; food supply; mine development risk analysis; mine environment evaluation; mineral residues location; plant coverage variation; primary geographical information; remote sensing index indicator; spatial characteristics; water color; Copper; Degradation; Diseases; Geology; Minerals; Remote monitoring; Remote sensing; Soil pollution; Urban pollution; Water pollution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369093