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In this paper, Jining No.2 mine and Jining No.3 mine in Yanzhou Shandong province as the study area with poplar, corn, soybean for the study of three plants, collected the spectral curves of specific plants at polluted area near the mine, soil samples and vegtation samples were gathered simultaneously. The samples were then analyzed in chemical lab and were measured the content of Cu, Pb, Zn, Cr, Mn, Ni six heavy metals and the content of chlorophyll, understood the pollution of study area.The results showed that the content of Cr and Ni in three plants were higher, much higher than normal value, so the plants near the mine were polluted seriously by Cr and Ni. At the same time, processing the spectral curves and extracting some spectral parameters, such as red edge parameters, green peak parameters, vegetation indices, red valley parameters, water absorption parameters and so on, through analying these spectral parameters, we can see, from the view of the reflectivity on blue band and red band, the polluted plant was higher than normal plant, but the reflectivity on green peak and near-infrared were the other hand; From the view of spectral bands location, the polluted plant compared with normal plant, the distance between the green peak and the red valley was longer, the gradient was slowed down, the depth of red valley was more shallow, the position of red edge was blue shif, the vegetation indices was smaller. Analyzing the correlation between heavy effect and spectral characteristics parameters, got the model of heavy metal content and chlorophyll content inversed by spectral characteristics parameters with stepwise regression analysis. In addition, atmospheric correction to the remote sensing images in the study area with FLAASH model, extracted the NDVI, RVI, red edge position and red valley depth of vegetation and extracted their grayscale and density maps, so we can analysed that the contamination condition of vegetation qualitatively.
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