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A Coastal Monitoring System Based on Satellite Observation for Ocean and Coast Sustainability

Jacobsen, Sven und Singha, Suman und Li, Xiaoming und Velotto, Domenico und Zeng, Kan (2019) A Coastal Monitoring System Based on Satellite Observation for Ocean and Coast Sustainability. 2019 Dragon 4 Results Symposium, 2019-06-24 - 2019-06-28, Ljubljana, Slovenia.

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Offizielle URL: http://dragon4.esa.int/2019-symp/

Kurzfassung

Nearly ¾ of the world's mega cities are by the sea and almost 80% of the global population live within 100km from the coast. These numbers make very clear that coastal regions worldwide are not only socially important but also economically critical with e.g. harbours, fish farms and exploitation sites for natural resources (oil/gas rigs or offshore wind farms). Moreover the seaside is important for recreational activities and as a natural habitat for local marine life. With respect to the extreme importance of the coastline, constant monitoring of this region is compulsory. Just like the diversity of perspectives in the coastal areas, the diversity of maritime information is complex. Many parameters and layers of information are needed to obtain a comprehensive picture for a given application. Driven by the self-evident advantages of Earth observation methods to monitor large areas while keeping costs at a reasonable level, numerous methods have been developed and improved by the Chinese and German Dragon partners to extract maritime information from satellite-based sensors and will be outlined in the presentation. While most of the information is only available separately, the combination of different information layers is needed to generate a holistic maritime situation awareness. For this an integrated platform is needed to simultaneously visualize and generate a synopsis of different types of information, selected according to the respective application. We present a prototype of a web-based near-real-time information platform to combine information such as sea state, wind information, AIS messages, SAR-based ship detections and sea ice information to obtain a thorough maritime situation awareness. The system can be expanded for oil spill detection and other relevant information and can thus serve as a powerful decision support system for national or international authorities e.g. in catastrophy or disaster management. The platform can help uncover exceptional conditions or behavior and represents an important constituent in sustainable coastal management.

elib-URL des Eintrags:https://elib.dlr.de/127194/
Dokumentart:Konferenzbeitrag (Vortrag)
Zusätzliche Informationen:Presenting Author: Suman Singha
Titel:A Coastal Monitoring System Based on Satellite Observation for Ocean and Coast Sustainability
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Jacobsen, SvenSven.Jacobsen (at) dlr.dehttps://orcid.org/0000-0003-4810-4186NICHT SPEZIFIZIERT
Singha, SumanSuman.Singha (at) dlr.dehttps://orcid.org/0000-0002-1880-6868NICHT SPEZIFIZIERT
Li, XiaomingInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Haidian, Beijing, China;NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Velotto, DomenicoDomenico.Velotto (at) dlr.dehttps://orcid.org/0000-0002-8592-0652NICHT SPEZIFIZIERT
Zeng, KanOcean University of China, Qingdao, Shandong, ChinaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Juni 2019
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Name der Reihe:ESA Special Publications
Status:veröffentlicht
Stichwörter:SAR, Oceanography
Veranstaltungstitel:2019 Dragon 4 Results Symposium
Veranstaltungsort:Ljubljana, Slovenia
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:24 Juni 2019
Veranstaltungsende:28 Juni 2019
Veranstalter :European Space Agency (ESA), National Remote Sensing Center of China (NRSCC), Ministry of Economic Development and Technology, Slovenia
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - SAR-Methoden
Standort: Bremen , Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung
Hinterlegt von: Kaps, Ruth
Hinterlegt am:26 Apr 2019 10:42
Letzte Änderung:24 Apr 2024 20:30

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