Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images

被引：118
作者：
Arellano, Paul [1 ,2 ]
Tansey, Kevin [1 ]
Balzter, Heiko [1 ,3 ]
Boyd, Doreen S. [4 ]
机构：
[1] Univ Leicester, Dept Geog, Ctr Landscape & Climate Res, Leicester LE1 7RH, Leics, England
[2] Yachay Tech Univ, Sch Geol Sci & Engn, Imbabura, Ecuador
[3] Univ Leicester, Natl Ctr Earth Observat, Leicester LE1 7RH, Leics, England
[4] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England
来源：
ENVIRONMENTAL POLLUTION | 2015年 / 205卷
关键词：
Petroleum pollution; Hyperspectral remote sensing; Amazon forest; Vegetation indices; Yasuni National Park; CHLOROPHYLL CONCENTRATION; SPECTRAL INDEXES; LEAF THICKNESS; NATIONAL-PARK; WATER-CONTENT; NATURAL-GAS; REFLECTANCE; VEGETATION; HYPERION; STRESS;
D O I：
10.1016/j.envpol.2015.05.041
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The global demand for fossil energy is triggering oil exploration and production projects in remote areas of the world. During the last few decades hydrocarbon production has caused pollution in the Amazon forest inflicting considerable environmental impact. Until now it is not clear how hydrocarbon pollution affects the health of the tropical forest flora. During a field campaign in polluted and pristine forest, more than 1100 leaf samples were collected and analysed for biophysical and biochemical parameters. The results revealed that tropical forests exposed to hydrocarbon pollution show reduced levels of chlorophyll content, higher levels of foliar water content and leaf structural changes. In order to map this impact over wider geographical areas, vegetation indices were applied to hyperspectral Hyperion satellite imagery. Three vegetation indices (SR, NDVI and NDVI705) were found to be the most appropriate indices to detect the effects of petroleum pollution in the Amazon forest. (C) 2015 The Authors. Published by Elsevier Ltd.
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收藏
页码：225 / 239
页数：15
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