结合神东矿区环境与灾害遥感监测与分析,根据MODIS/AQUA卫星产品的归一化植被指数(NDVI)和地表温度(T_s)数据,分析了基于1km和500m分辨率数据的NDVI-T_s特征空间,发现NDVI-T_s特征空间均具有双抛物线型特征。与基于1km和500m分辨率数据的NDVI-T_s三角形特征空间进行对比分析,并将得到的温度植被干旱指数(TVDI)数据与实测土壤湿度进行相关性分析,结果表明1km双抛物线型NDVI-T_s特征空间能更好地反映地表0—5cm土壤湿度,而500m双抛物线型NDVI-T_s特征空间在监测10cm土壤湿度时更有优势。以通过双抛物线型NDVI-T_s特征空间得到的TVDI作为旱情遥感监测指标,评估了2010年10月8—23日16d和2010年10月8日当天的神东矿区旱情,揭示了矿区旱情的空间特点。

Combining environment and disaster monitor with analysis by using satellite remote sensing in Shendong mining area, the Normalized Difference Vegetation Index (NDVI) and land surface temperature (T_s) derived from MODIS/AQUA data of 1km and 500m resolution were applied to analyze the NDVI-T_s space. It is discovered that NDVI-T_s space is bi-parabola, comparing with the triangle space for traditional NDVI-T_s. By checking with filed investigation on soil moisture at different depth, it is found that the 1km resolution NDVI-T_s bi-parabola space is better than the others for reflecting the soil moisture at depth 0—5cm, while 500m resolution NDVI-T_s bi-parabola space is the best among three spaces for reflecting the soil moisture at depth 10cm. Based on the TVDI obtained from the NDVI-T_s bi-parabola space, the drought situation in Shendong mining area from Oct. 8, 2010 to Oct. 23 for 16d and the day on Oct. 8, 2010 is evaluated. And the spatial features of the drought situation in Shendong mining area are revealed.