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Based On The GIS&RS Technology Of Remote Sensing Of Cracks In The Coal Mining Area In North ShaanXi

Posted on:2010-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhaoFull Text:PDF
GTID:2120360278455254Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
With large-scale exploitation of coal resources, ecological environment has become increasingly prominent negative effects of underground coal after mining, resulting in a large number of mined-out area, brought about by geological disasters in the form goaf surface size the collapse pits, cracks and other geological disasters basin subsidence. Not only caused the deterioration of the ecological environment, but also hinder the process of urbanization and socio-economic sustainable development. To cracks in the coal zone of geological disasters in the most intuitive one, is also a danger of the largest, and its large number of widely distributed, against the weight. Remote sensing technology as a means of high-tech has a macroscopic view, it is powerful, and information-rich and so on. The use of remote sensing technology on the ground deformation and other geological disasters and conduct investigations into the traditional technology with unparalleled advantages. Yami-class in particular, the emergence of high-resolution remote sensing imagery to promote the remote sensing survey of the macro to the micro-development, in order to investigate the coal zone and the cracks provide a fast, efficient way.Yulin City Shenmu Daliuta Coal Development Zone is one of the world famous Shenfu Dongsheng coalfield, one of the main mining areas, but also the coal field the largest and . most advanced equipment, one of the two mines. The development of coal resources, led to the rapid development of the area's economy, while eco-environment caused by the negative effects of more and more prominent, and the cracks are the most intuitive one, is also a danger of the biggest. In this paper, "the Ministry of Education key project (10183) -Ground deformation zone of northern Shaanxi coal led to the loss of soil moisture remote sensing analysis" based on selected coal zones in Daliuta Yang trench areas as the study area to Quickbird image and field survey data as a data source, application Erdas, ENVI, such as remote sensing image processing software to enhance the integration and processing, to crack-based model of information extraction knowledge, computer study area automatically extracted information of the ground fissures. ARCGIS use of spatial analysis function, information of the earth fissure maps and the results of supervised classification map overlay analysis as well as field survey methods used to further verify its accuracy. Shanbei for rational exploitation of coal resources and protect ecological environment in mining areas to provide a scientific basis.
Keywords/Search Tags:Cracks, Remote sensing technology, Image enhanement, Automatically extract, Coal zone
PDF Full Text Request
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