Stein, Enrico and Nitsche, Robin and Lechner, Konstanze and Schwarz, Egbert and Berg, Matthias and Kiefl, Ralph and Müller, Rupert (2015) Operational Service for the Detection of Vessels and Maritime Activities with Optical Satellite Imagery in Near Real Time - Experiences and Future Aspects. 1st International Electronic Conference on Remote Sensing, 2015-06-22 - 2015-07-05, Thessaloniki, Griechenland.
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Abstract
In the context of the project OpSSERVE - Optical Satellite Services for EMSA (European Maritime Safety Agency) – the European Space Imaging (EUSI) and the German Aerospace Center (DLR) established for the first time a fully operational and near real-time service to detect vessels and maritime activities with optical satellite imagery . The service was implemented in 2013 and contribute to maritime situation awareness, e.g. in order to reduce the risk of maritime accidents, marine pollution and the loss of human life at sea. Since its activation in 2007, EMSA’s CleanSeaNet (CSN) system provides pollution detection services in support of maritime surveillance and decision making for all participating European member states based on SAR satellite data. The main advantage of SAR data is their independence of weather conditions (cloud coverage), but the identification of small vessels is rather difficult. The use of very high resolution (VHR) optical data provides valuable information to identify small vessels. From the VHR optical imagery, actionable information products are created in an automatic processing chain including image pre-processing, data transcription, automatic vessel detection, GUI based interactive vessel and activity detection and finally the delivery of standardized products to EMSA. The service provides access to globally collected satellite imagery and receives data and derived products in near real-time (1 or 3 hours). In OpSSERVE, five satellite missions are available: WorldView-1, WorldView-2, GeoEye-1, IKONOS and EROS-B. The poster will present the experiences of the operational service and give an overview on future aspects and possible applications.
Item URL in elib: | https://elib.dlr.de/100399/ | ||||||||||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||||||||||||||||||
Title: | Operational Service for the Detection of Vessels and Maritime Activities with Optical Satellite Imagery in Near Real Time - Experiences and Future Aspects | ||||||||||||||||||||||||||||||||
Authors: |
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Date: | July 2015 | ||||||||||||||||||||||||||||||||
Refereed publication: | No | ||||||||||||||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||||||
Keywords: | maritime, near real time, optical, vessel detection, operational | ||||||||||||||||||||||||||||||||
Event Title: | 1st International Electronic Conference on Remote Sensing | ||||||||||||||||||||||||||||||||
Event Location: | Thessaloniki, Griechenland | ||||||||||||||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||||||||||||||
Event Start Date: | 22 June 2015 | ||||||||||||||||||||||||||||||||
Event End Date: | 5 July 2015 | ||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben Zivile Kriseninformation und Georisiken (old) | ||||||||||||||||||||||||||||||||
Location: | Neustrelitz , Oberpfaffenhofen | ||||||||||||||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Geo Risks and Civil Security German Remote Sensing Data Center > National Ground Segment Remote Sensing Technology Institute > Photogrammetry and Image Analysis | ||||||||||||||||||||||||||||||||
Deposited By: | Stein, Enrico | ||||||||||||||||||||||||||||||||
Deposited On: | 04 Dec 2015 12:00 | ||||||||||||||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:05 |
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