| Pan Xi Area is the crucial region of Sichuan Province’s mineral resources development, where large-scale and high-intense mining has been undertook for decades. While contributing a lot to national economic development, it also significantly disturbs surrounding environment. The promotion of remote sensing has provided mining environment with effective monitoring tools, however, what has been long-term implemented was foreign satellite imagery data. Recently, new products of domestic high-resolution satellite imagery became accessible, therefore, more options has presented to environmental remote sensing monitoring research. With remote sensing monitoring results and geological environment evaluation, it can provide scientific basis for environment protection and restoration measurements in mining area.Referring to large amount of research articles, this thesis chose multi-temporal remote sensing data of both foreign and domestic satellites. Spatial information techniques were integrated applied to the remote sensing survey and monitoring of mining area environment in Pan Xi. Based on that, considering relative physical geography and regional geological survey data, according to scientific evaluation principles, “rough set- analytical hierarchy process” model was applied to evaluate geological environment in the study area between 2009 and 2014, while analyzing the change patterns of geological environment in mining area. Results of this thesis have considerable value to the understanding and prediction of environment change trends in mining areas.The major content of this thesis are listed as following:(1)Chose domestic GF-1 products as data source, four image fusion methods between multispectral and panchromatic image were practiced, both qualitative and quantitative evaluation was given to each method. Result showed that Nearest Neighbor Diffusion(NNDiffuse) is suitable for environment remote sensing monitoring in mining environment.(2)Correspond to mining conditions, multi-type and multi-temporal data were applied. After satellite imagery processing, high resolution interpretation symbols were established. In accordance with field survey, remote sensing survey and monitoring were conducted to mining environment, while established environmental remote sensing monitoring database between 2009 and 2014 in the study area.(3)Considering actual environment conditions in the study area, 11 evaluation indicators were chosen to build up evaluation indicator system for mining environment. Then, combing analytical hierarchy process with rough set theory, of which combination weighting approach was applied to optimize. Eventually, optimized weight of each indicator was obtained to form “rough set- analytical hierarchy process” model.(4)Applying “rough set- analytical hierarchy process” model, it evaluated geological environment of mining area from 2009 to 2014, while analyzing the change trend in six years. Research results indicate that, due to the large-scale and long-term exploitation, the general environment quality in the study area is far from optimistic. For each year, heavily influenced area accounted for over 76% of whole evaluation region. For the reason that local government has enhanced the implementation of protection measurements for mining environment, such as “mining area re-green movement” and “land reclamation project”, the regional mining environment has been improved partially. |
