| DOI: | 10.1016/j.marpolbul.2015.08.006
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| Scopus记录号: | 2-s2.0-84951186120
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| 论文题名: | Polluter identification with spaceborne radar imagery, AIS and forward drift modeling |
| 作者: | Longépé N.; Mouche A.A.; Goacolou M.; Granier N.; Carrere L.; Lebras J.Y.; Lozach P.; Besnard S.
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| 刊名: | Marine Pollution Bulletin
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| ISSN: | 0025-326X
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| EISSN: | 1879-3363
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| 出版年: | 2015
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| 卷: | 101, 期:2 | | 起始页码: | 826
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| 结束页码: | 833
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| 语种: | 英语
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| 英文关键词: | Automatic Identification System (AIS)
; Marine polluter identification
; Oil transport model
; Synthetic Aperture Radar (SAR)
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| Scopus关键词: | Automation
; Marine radar
; Pollution
; Pollution detection
; Radar
; Space applications
; Synthetic aperture radar
; Tracking radar
; Automatic identification system
; Case-studies
; Data flow
; Dense traffics
; Drift model
; Oil transport
; Operational concepts
; Radar imaging
; drift behavior
; identification method
; marine pollution
; oil pollution
; pollution monitoring
; synthetic aperture radar
; imagery
; model
; telecommunication
; analysis
; devices
; electromagnetic field
; environmental monitoring
; oil spill
; procedures
; ship
; water pollution
; Electromagnetic Phenomena
; Environmental Monitoring
; Petroleum Pollution
; Radar
; Ships
; Water Pollution
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| Scopus学科分类: | Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
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| 英文摘要: | This study defines and assesses a new operational concept to identify the origin of pollution at sea, based on Synthetic Aperture Radar, Automatic Identification System, and a forward drift model. As opposed to traditional methodologies where the SAR detected pollution is backtracked in the past, our approach assumes that all the vessels pollute all along their way. Based on all the AIS data flows, the forward-tracked simulated pollutions are then compared to the detected pollution, and the potential polluter can be finally identified. Case studies are presented to showcase its usefulness in a variety of maritime situations with a focus on orphan pollutions in a dense traffic area. Out of the identification of the suspected polluters, the age and eventually the type of the pollution can be retrieved. © 2015 Elsevier Ltd. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/86277
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| Appears in Collections: | 过去全球变化的重建
全球变化的国际研究计划
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作者单位: | Radar Application and Technical Divisions, Collecte Localisation Satellites (CLS), Plouzané, France; Laboratoire d'Oceanographie Spatiale, IFREMER, Plouzané, France; Space Oceanography and Technical Divisions, Collecte Localisation Satellites (CLS), Ramonville Saint-Agne, France
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| Recommended Citation: | |
Longépé N.,Mouche A.A.,Goacolou M.,et al. Polluter identification with spaceborne radar imagery, AIS and forward drift modeling[J]. Marine Pollution Bulletin,2015-01-01,101(2)
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