神东矿区土壤湿度遥感监测与双抛物线型NDVI-T_s特征空间  

Soil Moisture Monitoring in Shendong Mining Area and Bi-parabola NDVI-T_s Space

作　　者：刘英[1] 吴立新[2] 马保东[3] 林亚卫[1] 

机构地区：[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]北京师范大学地表过程与资源生态国家重点实验室,北京100875 [3]东北大学测绘遥感与数字矿山研究所,沈阳110004

出　　处：《科技导报》2011年第35期39-44,共6页Science & Technology Review

基　　金：国家重点基础研究发展计划(973计划)(2011CB707102);地表过程与资源生态国家重点实验室项目(2009-KF-16)

摘　　要：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(Ts)数据,分析了基于1km和500m分辨率数据的NDVI-Ts特征空间,发现NDVI-Ts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-Ts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-Ts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-Ts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-Ts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 （Ts） derived from MODIS/AQUA data of lkm and 500m resolution were applied to analyze the＇NDVI-Ts space. It is discovered that NDVI-Ts space is bi-parabola, comparing with the triangle space for traditional NDVI-Ts. By checking with filed investigation on soil moisture at different depth, it is found that the lkm resolution NDVI-Ts bi-parabola space is better than the others for reflecting the soil moisture at depth 0-5cm, while 500m resolution NDVI-Ts biparabola space is the best among three spaces for reflecting the soil moisture at.depth 10cm. Based on the TVDI obtained from the NDVI-T, 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.

关 键 词：温度植被干旱指数 双抛物线型特征空间 NDVI 土壤湿度 神东矿区 

分 类 号：S152.7[农业科学—土壤学] TP79[农业科学—农业基础科学]