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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...

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Detalles Bibliográficos
Autores principales: van der Werff, Harald, van der Meijde, Mark, Jansma, Fokke, van der Meer, Freek, Groothuis, Gert Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
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.
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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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