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Τίτλος: Oil spill detection using sentinel 1 SAR data at Cyprus’s coasts
Συγγραφείς: Melillos, George 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Ημερομηνία Έκδοσης: 12-Απρ-2021
Πηγή: Proceedings Volume 11729, Automatic Target Recognition XXXI, 2021
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Περίληψη: Remote sensing is considered as an increasingly important technology for Maritime ecosystem. The aim of this paper is to show how to detect and map oil spills in the Cyprus Region using freely available Sentinel 1 SAR imagery data. Oil spill is automatically detected using Oil Spill detection tool of Sentinel Application Platform (SNAP). The methodology is applied on several satellite images to identify the effects of oil spill compared to the clean sea conditions. The comparison was made using two different polarization; vertical polarization (VV) and horizontal comparison (VH). The preliminary results shows that the Sentinel-1 SAR data would give effective results and spatial information on oil spill detection to decision-makers.
URI: https://hdl.handle.net/20.500.14279/24317
DOI: 10.1117/12.2585886
Rights: © Society of Photo-Optical Instrumentation Engineers (SPIE)
Type: Conference Poster
Affiliation: Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Εμφανίζεται στις συλλογές:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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