Detection of oil spills on SAR images, identification of polluters and forecast of the slicks trajectory

Uiboupin, Rivo; Raudsepp, Urmas; Sipelgas, Liis

doi:10.1109/baltic.2008.4625526

Cited by 11 publications

(11 citation statements)

References 6 publications

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“…Moreover, using the hindcast of the slick trajectory and AIS data for ship traffic monitoring in STW (Fig. 6), the same two vessels were traced back to the polluted area [7].…”

Section: Sea Surface Temperature and Salinitymentioning

confidence: 99%

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Raudsepp

Uiboupin

Sipelgas

et al. 2010

2010 IEEE/OES Baltic International Symposium (BALTIC)

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The objective of the Global Monitoring for Environment and Security (GMES) is to provide, on a sustained basis, reliable and timely services related to environmental and security issues in support of public policy makers' needs. MyOcean is the implementation project of the GMES Marine Core Service (MCS), aiming at deploying the first concerted and integrated pan-European capacity for Ocean Monitoring and Forecasting (www.myocean.eu.org). MyOcean develops upgraded European capabilities for reference marine information and provides a wide range of key ocean indicators. The MCS provides information to intermediate users who combine it with other forms of information and data to provide customized downstream services for end users. The end users range from wide public to special target groups. Downstream marine services in Estonia are built on in-situ real time and near real time measurements, satellite remote sensing imagery and numerical modeling. Two-day marine forecasts for the North-Eastern Baltic Sea are produced by 3D circulation model HIROMB-EST. The downstream service portfolio consists of following items. Real time sea level observations including history and two-day forecasts on 12 locations around the Estonian coast are available in the Internet. Sea surface temperature (SST) and salinity are complimented with near real time ferry-box observations on the cross-section between Tallinn and Helsinki. During cloud free sky SST charts are produced using MODIS (Moderate Resolution Imaging Spectroradiometer) imagery for the Gulf of Finland and Gulf of Riga. Illegal oil spills are detected from SAR imagery. The drift of the slick is simulated by Seatrack-Web and potential polluters are identified combining Seatrack Web and the Automatic Identification System (AIS). The monitoring of suspended particulate matter during harbor dredging is based on MODIS and MERIS (MEdium Resolution Imaging Spectrometer) data. The laboratory analyses of water samples are used for the calibration and validation of satellite products. The in situ measurements of vertical profiles of absorption and attenuation coefficients are used to determine the profiles of particle origin, concentration and size distribution.Operational ice extent monitoring using SAR data is rather widespread. Optical remote sensing imagery from MODIS and MERIS sensors complement SAR imagery. Ice concentration maps are produced using the histogram analysis of MODIS 250 m reflectance data. This data is used for model evaluation with the purpose to get reliable ice forecast from the HIROMMB-EST model. Spectral optical remote sensing data from MERIS helps to identify different ice types.The determination of high spatial resolution marine and coastal wind from the Advanced Synthetic Aperture Radar (ASAR) is quite a novel application in the Estonian waters. Wind field data can be retrieved from ASAR C-band data and model results using CMOD algorithm.

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“…Moreover, using the hindcast of the slick trajectory and AIS data for ship traffic monitoring in STW (Fig. 6), the same two vessels were traced back to the polluted area [7].…”

Section: Sea Surface Temperature and Salinitymentioning

confidence: 99%

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Raudsepp

Uiboupin

Sipelgas

et al. 2010

2010 IEEE/OES Baltic International Symposium (BALTIC)

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“…Uiboupin et al (2008) researched the detection of oil spills from SAR images, identification of polluters and forecast of the slicks' trajectory, using SAR images from the Estonian coastal area and Seatrack web model, that includes AIS data to provide a possibility of identification of a polluters. Lehner et al (2009) researched the potential for joint use of TerraSAR and AIS in the monitoring of river estuaries and maritime surveillance of a piracy area to evaluate possibilities and limitations of a near real time service in anti-piracy operations.…”

Section: Introductionmentioning

confidence: 99%

Ship Surveillance by Integration of Space-borne SAR and AIS – Review of Current Research

Zhao

Xing

et al. 2013

J. Navigation

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Ship surveillance is important for maritime security and safety. It plays important roles in many applications including ocean environment monitoring, search and rescue, anti-piracy and military reconnaissance. Among various sensors used for maritime surveillance, space-borne Synthetic Aperture Radar (SAR) is valued for its high resolution over wide swaths and all-weather working capabilities. However, the state-of-the-art algorithms for ship detection and identification do not always achieve a satisfactory performance. With the rapid development of space-borne Automatic Identification System (AIS), near real-time and global surveillance has become feasible. However, not all ships are equipped with or operate AIS. Space-borne SAR and AIS are considered to be complementary, and ship surveillance using an integrated combination has attracted much attention. In order to summarize the achievements and present references for further research, this paper attempts to explicitly review the developments in previous research as the basis of a brief introduction to space-borne SAR and AIS.

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“…The SAR features of an OS and its surroundings depend on parameters like wind speed as well as on the amount and a type of oil. Former experience demonstrates that the best approach for operational monitoring of OS would be simultaneous employment of different remote sensing instruments (SAR, optical remote sensing, in situ measurement) [5].…”

Section: Introductionmentioning

confidence: 99%

Oil Spill statistics from SAR images in the North Eastern Baltic Sea ship route in 2007–2009

Anderson

Raudsepp

Uiboupin

2010

2010 IEEE International Geoscience and Remote Sensing Symposium

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A large number of illegal oil pollutions impose considerable threat to marine environment especially in marginal seas like the Baltic Sea. Illegal spills are mainly detected on essential navigation routes. The monitoring of Oil Spills (OS) using remote sensing imagery (SAR data) was performed on the northeastern Baltic Sea ship route. The pre-analyzed satellite images for detecting marine pollution were provided to marine surveillance agency in Estonia. Out of 137 detected potential pollutions 76 were confirmed by aerial surveillance missions within two-year period. OS were mainly of low confidence, had small area, low contrast with surrounding water and smeared edges. The entrance to the Gulf of Finland was classified as the area where illegal spills of oil and bilge water take place, mainly. Between 30-50% of actual oil pollutions are not detected by SAR.

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Detection of oil spills on SAR images, identification of polluters and forecast of the slicks trajectory

Cited by 11 publications

References 6 publications

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Ship Surveillance by Integration of Space-borne SAR and AIS – Review of Current Research

Oil Spill statistics from SAR images in the North Eastern Baltic Sea ship route in 2007–2009

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Detection of oil spills on SAR images, identification of polluters and forecast of the slicks trajectory

Cited by 11 publications

References 6 publications

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Use of earth observation data and numerical modeling in the development of marine downstream services in Estonia

Ship Surveillance by Integration of Space-borne SAR and AIS – Review of Current Research

Oil Spill statistics from SAR images in the North Eastern Baltic Sea ship route in 2007&#x2013;2009

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Oil Spill statistics from SAR images in the North Eastern Baltic Sea ship route in 2007–2009