中文摘要：

以黄河口为研究区，应用现场和HJ-1高光谱遥感数据，开展了植被受石油烃渗漏影响的高光谱检测方法研究。选择了常用于判别植被受石油烃渗漏污染的红边蓝移指数 REP_blue、土壤含氧量相关指数 CTR和叶绿素敏感指数CHL ，通过分析研究区主要植被芦苇和柽柳地物光谱和HJ-1高光谱影像中同位置像元光谱，对3种指数在研究区的有效性进行了评价。基于在图像像元光谱检测中表现较好的指数，提出了一种针对 HJ-1高光谱遥感影像的受石油烃渗漏影响植被检测方法。结果表明，3种指数对于油井旁植被现场光谱的检出效果均好于图像光谱，同时，相比于其它两种指数，CHL指数的检出效果较差；应用发展的受石油烃渗漏污染影响植被检测指数，对覆盖研究区的 HJ-1高光谱遥感影像进行了检测，发现检测结果中71．1％的位置附近存在油井，说明该方法具有一定的检测能力。

英文摘要：

Taking the wetland of the Huanghe Estuary as the study area ,a hyperspectral detection method for the vegetation affected by petroleum hydrocarbon leakage is studied by using the data from the field work and the HJ-1 hyperspectral remote sensing image . 3 kinds of detection indices w hich are commonly used to distinguish the vegetation that is polluted by the petroleum hydrocarbon seepage are chosen in the present study .T hey are the red edge position blue shift index （REP-blue） ,the soil oxygen related index （CTR） and the Chlorophyll sensitive index （CHL） .The validity of these 3 indices is tested by analyzing the spectra of the main vegetation Reed and Tamarix in the study ar-ea and the HJ-1 hyperspectral remote sensing image pixels .Based on the indices show-ing a better performance in the image pixel spectrum detection ,a hyperspectral detec-tion method is proposed for HJ-1 hyperspectral remote sensing image of vegetation af-fected by petroleum hydrocarbon seepage .By using the 3 indices ,the detection results of the field spectra of the vegetation near the oil wells are all better than those of the im-age spectra ,but the detection result of index CHL is relatively poorer ,compared with those of other two indices .The HJ hyperspectral remote sensing image covering the w hole study area is also detected subsequently by means of the effective detection indi-ces .The results show that 71 .1% of the detected positions that was suspected suffering the pollution of the petroleum hydrocarbon seepage have oil wells .