Oil pollution monitoring by SAR imagery

Abstract – Russia is the first world gas producer and the second for oil. Its reserves of hydrocarbons are primarily located in the Russian North where permafrost is often present. Large oil spills occur in this area. The pipelines are subject to corrosion and cryogenic processes. The risk of ruptur...

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Main Author: A. Gaye
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5252
http://www.isprs.org/publications/related/ISRSE/html/papers/562.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.141.5252 2023-05-15T15:08:06+02:00 Oil pollution monitoring by SAR imagery A. Gaye The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5252 http://www.isprs.org/publications/related/ISRSE/html/papers/562.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5252 http://www.isprs.org/publications/related/ISRSE/html/papers/562.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.isprs.org/publications/related/ISRSE/html/papers/562.pdf Hydrocarbons pollution radar imagery pipeline Russia Arctic text ftciteseerx 2016-01-07T14:58:18Z Abstract – Russia is the first world gas producer and the second for oil. Its reserves of hydrocarbons are primarily located in the Russian North where permafrost is often present. Large oil spills occur in this area. The 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. The ability of ERS Synthetic Aperture Radar (SAR) data in the detection of Usinsk’s oil spill, which occurred in 1994, is carried out in this study Moreover, some disturbing factors such as the characteristics of the sensor, the sensor look direction, the topography and the speckle, make difficult the SAR data processing. In fact, the determination of the features of the target depends on the knowledge of these disturbing effects. Examples of such features presented here are interpreted based on the regional and temporal context of the SAR imagery as well as the morphology and temporal persistence of the features. Thus, the digital image processing techniques included radar backscatter calibration, speckle filtering, edge detection filtering, brightness value (dB) analysis and oil spill shape analysis are used to enhance the spillage area in the ERS imagery over the Usinsk’s area. The method developed here using 3 SAR images is discussed especially in terms of limits and possible uses as a routine. Text Arctic permafrost Russian North Unknown Arctic
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic Hydrocarbons
pollution
radar imagery
pipeline
Russia
Arctic
spellingShingle Hydrocarbons
pollution
radar imagery
pipeline
Russia
Arctic
A. Gaye
Oil pollution monitoring by SAR imagery
topic_facet Hydrocarbons
pollution
radar imagery
pipeline
Russia
Arctic
description Abstract – Russia is the first world gas producer and the second for oil. Its reserves of hydrocarbons are primarily located in the Russian North where permafrost is often present. Large oil spills occur in this area. The 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. The ability of ERS Synthetic Aperture Radar (SAR) data in the detection of Usinsk’s oil spill, which occurred in 1994, is carried out in this study Moreover, some disturbing factors such as the characteristics of the sensor, the sensor look direction, the topography and the speckle, make difficult the SAR data processing. In fact, the determination of the features of the target depends on the knowledge of these disturbing effects. Examples of such features presented here are interpreted based on the regional and temporal context of the SAR imagery as well as the morphology and temporal persistence of the features. Thus, the digital image processing techniques included radar backscatter calibration, speckle filtering, edge detection filtering, brightness value (dB) analysis and oil spill shape analysis are used to enhance the spillage area in the ERS imagery over the Usinsk’s area. The method developed here using 3 SAR images is discussed especially in terms of limits and possible uses as a routine.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author A. Gaye
author_facet A. Gaye
author_sort A. Gaye
title Oil pollution monitoring by SAR imagery
title_short Oil pollution monitoring by SAR imagery
title_full Oil pollution monitoring by SAR imagery
title_fullStr Oil pollution monitoring by SAR imagery
title_full_unstemmed Oil pollution monitoring by SAR imagery
title_sort oil pollution monitoring by sar imagery
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5252
http://www.isprs.org/publications/related/ISRSE/html/papers/562.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
Russian North
genre_facet Arctic
permafrost
Russian North
op_source http://www.isprs.org/publications/related/ISRSE/html/papers/562.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.5252
http://www.isprs.org/publications/related/ISRSE/html/papers/562.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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