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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2004
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Online Access: | https://doi.org/10.4000/cybergeo.3583 https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:cbcebb829af04ea7a57efa0e501057a9 2023-05-15T15:05:23+02:00 Etude par imagerie radar des pollutions pétrolières Radar imaging study of oil pollution Amadou Gaye Yvette Marchand G. Rees 2004-06-01 https://doi.org/10.4000/cybergeo.3583 https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9 de en fr it pt ger eng fre ita por Unité Mixte de Recherche 8504 Géographie-cités 1278-3366 doi:10.4000/cybergeo.3583 https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9 undefined Cybergeo (2004) Arctic hydrocarbon pipeline radar remote sensing pollution geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2004 fttriple https://doi.org/10.4000/cybergeo.3583 2023-01-22T19:14:55Z 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. Article in Journal/Newspaper Arctic permafrost Russian North Unknown Arctic Cybergeo |
institution |
Open Polar |
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op_collection_id |
fttriple |
language |
German English French Italian Portuguese |
topic |
Arctic hydrocarbon pipeline radar remote sensing pollution geo envir |
spellingShingle |
Arctic hydrocarbon pipeline radar remote sensing pollution geo envir Amadou Gaye Yvette Marchand G. Rees Etude par imagerie radar des pollutions pétrolières |
topic_facet |
Arctic hydrocarbon pipeline radar remote sensing pollution geo envir |
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 in Journal/Newspaper |
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://doi.org/10.4000/cybergeo.3583 https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost Russian North |
genre_facet |
Arctic permafrost Russian North |
op_source |
Cybergeo (2004) |
op_relation |
1278-3366 doi:10.4000/cybergeo.3583 https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9 |
op_rights |
undefined |
op_doi |
https://doi.org/10.4000/cybergeo.3583 |
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Cybergeo |
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