黄河口受石油烃渗漏影响植被的高光谱检测方法研究
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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。
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 which are commonly used to distinguish the vegetation that is polluted by the petroleum hydrocarbon seepage are chosen in the present study.They 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 area and the HJ-1 hyperspectral remote sensing image pixels.Based on the indices showing a better performance in the image pixel spectrum detection,a hyperspectral detection method is proposed for HJ-1 hyperspectral remote sensing image of vegetation affected 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 image spectra,but the detection result of index CHLis relatively poorer,compared with those of other two indices.The HJ hyperspectral remote sensing image covering the whole study area is also detected subsequently by means of the effective detection indices.The results show that 71.1% of the detected positions that was suspected suffering the pollution of the petroleum hydrocarbon seepage have oil wells.
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 which are commonly used to distinguish the vegetation that is polluted by the petroleum hydrocarbon seepage are chosen in the present study.They 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 area and the HJ-1 hyperspectral remote sensing image pixels.Based on the indices showing a better performance in the image pixel spectrum detection,a hyperspectral detection method is proposed for HJ-1 hyperspectral remote sensing image of vegetation affected 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 image spectra,but the detection result of index CHLis relatively poorer,compared with those of other two indices.The HJ hyperspectral remote sensing image covering the whole study area is also detected subsequently by means of the effective detection indices.The results show that 71.1% of the detected positions that was suspected suffering the pollution of the petroleum hydrocarbon seepage have oil wells.
引文
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[2]SCHUMACHER D D.Surface geochemical exploration for oil and gas:new life for an old technology[J].The Leading Edge,2000,19(3):258-261.
[3]ABRAMS M A.Distribution of subsurface hydrocarbon seepage in near-surface marine sediments[C]∥SCHUMACHER D,ABRAMS M A.Hydrocarbon migration and its near-surface expression:AAPG Memoir 66。Washington D C:AAPG/Datapages,1996:1-14.
[4]HORVITZ L.Vegetation and geochemical prospecting for petroleum[J].AAPG Bulletin,1972,56(5):25-40.
[5]HOEKS J.Changes in composition of soil air near leaks in natural gas mains[J].Soil Science,1972,113(1):46-54.
[6]OLAH G A,MOLNAR A.Hydrocarbon chemistry[M].New York:John Wiley&Sons Inc,2003.
[7]SCHUMACHER D.Hydrocarbon-induced alteration of soils and sediments[D].USA:AAPG Memoir.1996.
[8]NOOMEN M F,VAN DER WERFF H,VAN DER MEER F D.Spectral and spatial indicators of botanical changes caused by long-term hydrocarbon seepage[J].Ecological Informatics,2012,8:55-64.
[9]KRAMER P J,JACKSON W T.Causes of injury to flooded tobacco plants[J].Plant Physiology,1954,29(3):241-245.
[10]LETEY J,STOLZY L,BLANK G.Effect of duration and timing of low soil oxygen content on shoot and root growth[J].Agronomy Journal,1962,54(1):34-47.
[11]ADAMS R S,ELLIS R.Some physical and chemical changes in the soil brought about by saturation with natural gas[J].Soil Science Society of America Journal,1960,24(1):41-44.
[12]MARSCHNER H,RIMMINGTON G.Mineral nutrition of higher plants[J].Plant,Cell and Environment,1988,11(2):147-148.
[13]NOOMEN M,SKIDMORE A,VAN DER MEER F D.Detecting the influence of gas seepage on vegetation,using hyperspectral remote sensing[C]∥HABERMEYER M.Proceedings of the Third EARSeL Workshop on Imaging Spectroscopy.Herrsching:EARSeL,2003:13-16.
[14]YANG H,ZHANG J,VAN DER MEER F D,et al.Spectral characteristics of wheat associated with hydrocarbon microseepages[J].International Journal of Remote Sensing,1999,20(4):807-813.
[15]樊彦国,张磊.孤东油田土壤石油类含量的高光谱反演模型[J].遥感学报,2012,16(2):8-13.
[16]CARTER G A,MILLER R L.Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands[J].Remote Sensing of Environment,1994,50(3):295-302.