Hyperspectral Detection Method for Vegetation Affected by Petroleum Hydrocarbon Seepage in the Wetland of the Huanghe Estuary
REN Guang-bo
ZHANG Jie
WU Pei-qiang
MA Yi
Abstract：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 .
Keywords：petroleum hydrocarbon seepagehyperspectral remote sensing of wetlandwetland of the Huanghe Estuary
Publication Date：2014-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：10( 26-35 )