| In order to evaluate the underground mining impacts on vegetation and land surface soil moisture in mining area, multi-source, multi-temporal, multi-scale and multi-resolution remote sensing images were used to monitor the spatial-temporal evolution patterns of key environmental elements and the influence of mining activities.The research progress and its deficiency on monitoring surface environment in mining area by remote sensing at home and abroad were summarized. Based on MODIS, SPOT, Landsat and HJ-CCD remote sensing data, the main works of the paper are as follows:1) MODIS and SPOT vegetation index were used to analyze the spatial-temporal evolution patterns of vegetation for12years and the relationship between vegetation and meteorological factors and then vegetation future change trends was forecast in Shendong mining area. The results show that:vegetation conditions were improved and temperature and precipitation are the dominant factors of vegetation growth and vegetation will degradate weakly in the future. In mine scale, the paper studied the vegetation differences between mined area and un-mined area using the normalized difference vegetation obtained by Landsat and HJ-CCD data and it is showed that mining can generate negative impacts on vegetation in mined area.2) Land surface soil moisture remote sensing monitoring model was established based on MODIS and it is got that land surface soil moisture is increased gradually for12years. In mine scale, land surface soil moisture retrieval model was constructed by Landsat and HJ-CCD reflectance data and soil moisture differences between mined area and un-mined area were analyzed. The results show that underground mining produces a negative impact on land surface soil moisture in mined area. On the basis of the above, the thesis puts forward reasonable mining countermeasures in Shendong mining area. |
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