Mining ecology environment monitoring based on the time and space changes of multiple vegetation indices

This paper applies spatial-temporal variation of multiple vegetation indices in mining ecological environment monitoring. The study area locates in WUYANG mine area of LUAN Coal Industry Group Co., Ltd. By means of MORTRAN4 model of FLASSH module, an atmospheric correction of the SPOT II / IV image data of four-year period of WUYANG Mine area is done. The normalized difference vegetation index (NDVI), ratio vegetation index (RVI) and difference vegetation index (DVI) and their mean are obtained by band calculation at the mining subsidence area. Using FOURIER4 model of the fast Fourier transform (FFT) of discrete Fourier analysis theory, mean NDVI, RVI and DVI time series data set is reconstructed. By correlation analysis, the influences of mining subsidence imposed on the vegetation index are obtained.