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A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage
Hydrocarbon leakage into the environment has large economic and environmental impact. Traditional methods for investigating seepages and their resulting pollution, such as drilling, are destructive, time consuming and expensive. Remote sensing is an efficient tool that offers a non-destructive inves...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3714662/ https://www.ncbi.nlm.nih.gov/pubmed/27879905 http://dx.doi.org/10.3390/s8063733 |
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author | van der Werff, Harald van der Meijde, Mark Jansma, Fokke van der Meer, Freek Groothuis, Gert Jan |
author_facet | van der Werff, Harald van der Meijde, Mark Jansma, Fokke van der Meer, Freek Groothuis, Gert Jan |
author_sort | van der Werff, Harald |
collection | PubMed |
description | Hydrocarbon leakage into the environment has large economic and environmental impact. Traditional methods for investigating seepages and their resulting pollution, such as drilling, are destructive, time consuming and expensive. Remote sensing is an efficient tool that offers a non-destructive investigation method. Optical remote sensing has been extensively tested for exploration of onshore hydrocarbon reservoirs and detection of hydrocarbons at the Earth's surface. In this research, we investigate indirect manifestations of pipeline leakage by way of visualizing vegetation anomalies in airborne hyperspectral imagery. Agricultural land-use causes a heterogeneous landcover; variation in red edge position between fields was much larger than infield red edge position variation that could be related to hydrocarbon pollution. A moving and growing kernel procedure was developed to normalzie red edge values relative to values of neighbouring pixels to enhance pollution related anomalies in the image. Comparison of the spatial distribution of anomalies with geochemical data obtained by drilling showed that 8 out of 10 polluted sites were predicted correctly while 2 out of 30 sites that were predicted clean were actually polluted. |
format | Online Article Text |
id | pubmed-3714662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-37146622013-07-18 A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage van der Werff, Harald van der Meijde, Mark Jansma, Fokke van der Meer, Freek Groothuis, Gert Jan Sensors (Basel) Article Hydrocarbon leakage into the environment has large economic and environmental impact. Traditional methods for investigating seepages and their resulting pollution, such as drilling, are destructive, time consuming and expensive. Remote sensing is an efficient tool that offers a non-destructive investigation method. Optical remote sensing has been extensively tested for exploration of onshore hydrocarbon reservoirs and detection of hydrocarbons at the Earth's surface. In this research, we investigate indirect manifestations of pipeline leakage by way of visualizing vegetation anomalies in airborne hyperspectral imagery. Agricultural land-use causes a heterogeneous landcover; variation in red edge position between fields was much larger than infield red edge position variation that could be related to hydrocarbon pollution. A moving and growing kernel procedure was developed to normalzie red edge values relative to values of neighbouring pixels to enhance pollution related anomalies in the image. Comparison of the spatial distribution of anomalies with geochemical data obtained by drilling showed that 8 out of 10 polluted sites were predicted correctly while 2 out of 30 sites that were predicted clean were actually polluted. Molecular Diversity Preservation International (MDPI) 2008-06-04 /pmc/articles/PMC3714662/ /pubmed/27879905 http://dx.doi.org/10.3390/s8063733 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article van der Werff, Harald van der Meijde, Mark Jansma, Fokke van der Meer, Freek Groothuis, Gert Jan A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage |
title | A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage |
title_full | A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage |
title_fullStr | A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage |
title_full_unstemmed | A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage |
title_short | A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage |
title_sort | spatial-spectral approach for visualization of vegetation stress resulting from pipeline leakage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3714662/ https://www.ncbi.nlm.nih.gov/pubmed/27879905 http://dx.doi.org/10.3390/s8063733 |
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