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...

Full description

Bibliographic Details
Published in:Cybergeo
Main Authors: Amadou Gaye, Yvette Marchand, G. Rees
Format: Article in Journal/Newspaper
Language:German
English
French
Italian
Portuguese
Published: Unité Mixte de Recherche 8504 Géographie-cités 2004
Subjects:
Online Access:https://doi.org/10.4000/cybergeo.3583
https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9
id ftdoajarticles:oai:doaj.org/article:cbcebb829af04ea7a57efa0e501057a9
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:cbcebb829af04ea7a57efa0e501057a9 2024-02-11T10:01:20+01:00 Etude par imagerie radar des pollutions pétrolières Amadou Gaye Yvette Marchand G. Rees 2004-06-01T00:00:00Z 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 http://journals.openedition.org/cybergeo/3583 https://doaj.org/toc/1278-3366 1278-3366 doi:10.4000/cybergeo.3583 https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9 Cybergeo (2004) Arctic hydrocarbon pipeline radar remote sensing pollution Geography (General) G1-922 article 2004 ftdoajarticles https://doi.org/10.4000/cybergeo.3583 2024-01-14T01:49:33Z 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 Directory of Open Access Journals: DOAJ Articles Arctic Cybergeo
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language German
English
French
Italian
Portuguese
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
topic_facet Arctic
hydrocarbon
pipeline
radar remote sensing
pollution
Geography (General)
G1-922
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 http://journals.openedition.org/cybergeo/3583
https://doaj.org/toc/1278-3366
1278-3366
doi:10.4000/cybergeo.3583
https://doaj.org/article/cbcebb829af04ea7a57efa0e501057a9
op_doi https://doi.org/10.4000/cybergeo.3583
container_title Cybergeo
_version_ 1790597146962034688