Abstract:

With the aid of remote sensing and spatial analysis technology and MODIS data, impacts of coal mining activities on vegetation of Guizhou Province were analyzed. Variations of the vegetation in the coal mining areas of the province were analyzed and characterized with the maximum value composition, average and the unary linear regression analysis methods, and influences of elevation, aspect, slope, soil, mean annual precipitation of years and mean annual temperature of years and annual coal output on the vegetation in the coal mining areas of the province were explored. Results show that the NDVIs of all the coal mining areas of the province were higher than 0.77, which means the vegetation in the mining areas was pretty good in growth, but still poorer than the province′s average. Among the mining areas, large-sized mining areas were obviously lower than medium- and -small-sized ones in NDVI; The NDVI of the province on the whole was on a rising trend. In a large proportion (79.22%) of the coal mining areas vegetation was improving, but still in a small portion (13.42%) it was degenerating;Among the seven factors affecting NDVI, coal output ranked third in the province as a whole, but fourth, fifth, and fifth in Zunyi, Bijie and Liupanshui, respectively. The main factors affecting the vegetation in the area were environmental factors like precipitation, soil and slope.

Key words: coal mine, normalized difference vegetation index (NDVI), geographical detector, Guizhou Province