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

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journal contribution
posted on 2015-07-23, 13:35 authored by Paul Arellano, Kevin Tansey, Heiko Balzter, D. S. Boyd
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.

Funding

This research has been self-founded by the corresponding author and has the support of the Secretariat for Science and Technology of Ecuador (SENESCYT). We thanks the Environmental Ministry of Ecuador for providing environmental studies and the Environmental Program for Pollution Remediation-PRAS for providing digital maps and high resolution satellite images of the study area. H. Balzter was supported by the Royal Society Wolfson Research Merit Award, 2011/R3 and the NERC National Centre for Earth Observation.

History

Citation

Environmental Pollution, 2015, 205, pp. 225-239

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Geography/GIS and Remote Sensing

Version

  • VoR (Version of Record)

Published in

Environmental Pollution

Publisher

Elsevier

eissn

1873-6424

Acceptance date

2015-05-30

Copyright date

2015

Available date

2015-07-23

Publisher version

http://www.sciencedirect.com/science/article/pii/S0269749115002754

Language

en

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