Method Of Monitoring Vegetation Information On The Mining Based On Multiple Remote Sensing Data

The environmental pollution and ecological problems appeared continuously with production of coal mining, and these were becoming more and more serious. It had become an important subject research to investigate and manage the environmental pollution and disaster for sustainable development in mining area. The vegetation information is an important parameter that indicates the state of ecological environment. So the effective extraction and monitor vegetation information of mine is an important component of monitoring and managing the ecological environment. In this paper, taking Feicheng mining as the study area, using multi-source remote sensing data, according to the characteristics of vegetation spectral and remote sensing image, the status of vegetation growth and the relationship with the surrounding landscape were investigated based on dynamic analysis from the space and time-series. The results reflect indirectly the mining expansion and ecological environment, and provide technical support for monitoring pollution of the mining area.In this paper, the studies had been made as following:1. In cognizance of the actual demand of monitoring the ecological environment, this paper makes full use of SPOT-5 panchromatic data that resolution at 2.5m, using the fusion method such as wavelet transform, principal component analysis, analyzing the elements of the ecological environment in mining areas and make it as the basic data that extract and analyze the vegetation information of mining.2. In order to extract and monitor the vegetation information of mining effectively, the vegetation information in mining areas was extracted comprehensive use of tasseled cap transformation, vegetation and soil correlation analysis, support vector machine classification, meanwhile the grade distribution figures of vegetation were made, and the pollution levels of different vegetation cover also were determined. The ecological environment of mine was monitored and the dynamic changes of vegetation information were determined in the period 2000-2009 using spectral change vector analysis.3. According to lack of quantitative analysis between the vegetation and ecological environment in mining area, in this paper the surface temperature of the mining area was inversed and the vegetation coverage was determined, so the relationship of vegetation coverage, surface temperature, air pollution and different types of underlying surface were quantitative described. The results would provide scientific basis for departments making relevant policy measures.4. Based the comprehensive index, the ecological environment of mining area were analyzed by calculating the biological abundance index, vegetation coverage index, water density index, land degradation index, environmental quality comprehensive index. It is not only enrich and improve the practical application cases of the ecological environment impact assessment, but also provides an important technical support energy saving for the mining.5. Through field surveys, combine the aerial data evaluate the accuracy of vegetation information. According to the results of quantitative analysis and the ecological environment index, the relevant measures were proposed.Experimental results show that the comprehensive utilization of 3S technology, using the methods of data fusion, tasseled cap transformation, support vector machine classification, spectral change vector analysis, combined with the actual acquisition of data mining, the vegetation information in the mining area could be effectively extracted, and the level of monitoring the ecological environment could be improved. It has great application value in dynamic monitoring of the ecological environment in the same type of mining.