Etude par imagerie radar des pollutions pétrolières

Every year, up to a fifth of Russian oil production is lost through leakage. The largest oil spills occur in the Russian North where permafrost is often present. Pipelines are subject to corrosion and cryogenic processes. The risk of rupture increases consequently. The oil spill monitoring is limite...

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Autores principales: Amadou Gaye, Yvette Marchand, G. Rees
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Publicado: Unité Mixte de Recherche 8504 Géographie-cités 2004
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Acceso en línea:https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9
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spelling oai:doaj.org-article:cbcebb829af04ea7a57efa0e501057a92021-12-02T11:09:40ZEtude par imagerie radar des pollutions pétrolières1278-336610.4000/cybergeo.3583https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a92004-06-01T00:00:00Zhttp://journals.openedition.org/cybergeo/3583https://doaj.org/toc/1278-3366Every year, up to a fifth of Russian oil production is lost through leakage. The largest oil spills occur in the Russian North where permafrost is often present. Pipelines are subject to corrosion and cryogenic processes. The risk of rupture increases consequently. The oil spill monitoring is limited by the vastness and the frequent inaccessibility of the pipeline network and therefore, requires remotely sensed data. This work on Usinsk’s disaster, which occurred in 1994, aims at giving some low-level tools for analysing SAR data. Some complicating factors such as the characteristics of the sensor, the sensor look direction, the topography and the speckle, make the SAR data processing difficult. The determination of the characteristics of the target depends on the knowledge of these disturbing effects. This study shows the key role that these corrections play for the interpretation of multitemporal SAR backscattering. The method developed here for the multitemporal study of the Usinsk’s oil spill using 3 SAR images is discussed especially in terms of limits and possible uses as a routine.Amadou GayeYvette MarchandG. ReesUnité Mixte de Recherche 8504 Géographie-citésarticleArctichydrocarbonpipelineradar remote sensingpollutionGeography (General)G1-922DEENFRITPTCybergeo (2004)
institution DOAJ
collection DOAJ
language DE
EN
FR
IT
PT
topic Arctic
hydrocarbon
pipeline
radar remote sensing
pollution
Geography (General)
G1-922
spellingShingle Arctic
hydrocarbon
pipeline
radar remote sensing
pollution
Geography (General)
G1-922
Amadou Gaye
Yvette Marchand
G. Rees
Etude par imagerie radar des pollutions pétrolières
description Every year, up to a fifth of Russian oil production is lost through leakage. The largest oil spills occur in the Russian North where permafrost is often present. Pipelines are subject to corrosion and cryogenic processes. The risk of rupture increases consequently. The oil spill monitoring is limited by the vastness and the frequent inaccessibility of the pipeline network and therefore, requires remotely sensed data. This work on Usinsk’s disaster, which occurred in 1994, aims at giving some low-level tools for analysing SAR data. Some complicating factors such as the characteristics of the sensor, the sensor look direction, the topography and the speckle, make the SAR data processing difficult. The determination of the characteristics of the target depends on the knowledge of these disturbing effects. This study shows the key role that these corrections play for the interpretation of multitemporal SAR backscattering. The method developed here for the multitemporal study of the Usinsk’s oil spill using 3 SAR images is discussed especially in terms of limits and possible uses as a routine.
format article
author Amadou Gaye
Yvette Marchand
G. Rees
author_facet Amadou Gaye
Yvette Marchand
G. Rees
author_sort Amadou Gaye
title Etude par imagerie radar des pollutions pétrolières
title_short Etude par imagerie radar des pollutions pétrolières
title_full Etude par imagerie radar des pollutions pétrolières
title_fullStr Etude par imagerie radar des pollutions pétrolières
title_full_unstemmed Etude par imagerie radar des pollutions pétrolières
title_sort etude par imagerie radar des pollutions pétrolières
publisher Unité Mixte de Recherche 8504 Géographie-cités
publishDate 2004
url https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9
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AT yvettemarchand etudeparimagerieradardespollutionspetrolieres
AT grees etudeparimagerieradardespollutionspetrolieres
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