Sentinel-1 SAR Imaging for Detection and Analysis of Oil Spills in the Coastal Waters of Bintan: A Case Study and Environmental Monitoring Application
Nandika, Muhammad Rizki, Rachman, Herlambang Aulia, Eguchi, Tsuyoshi, Setiawati, Martiwi Diah, Chatterjee, Uday, Adi, Novi Susetyo, Husain, Badrul Huda and Muslim, Aidy M. ed. Sentinel-1 SAR Imaging for Detection and Analysis of Oil Spills in the Coastal Waters of Bintan: A Case Study and Environmental Monitoring Application 2023/10/23-27 Bali, Indonesia. New York: Institute of Electrical and Electronics Engineers (IEEE), 2024.
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http://dx.doi.org/10.1109/APSAR58496.2023.10388813 Full text from publisher -
Sub-type Conference proceedings Author Nandika, Muhammad Rizki
Rachman, Herlambang Aulia
Eguchi, Tsuyoshi
Setiawati, Martiwi Diah
Chatterjee, Uday
Adi, Novi Susetyo
Husain, Badrul Huda
Muslim, Aidy M.Event series 2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Title of Event Sentinel-1 SAR Imaging for Detection and Analysis of Oil Spills in the Coastal Waters of Bintan: A Case Study and Environmental Monitoring Application Date of Event 2023/10/23-27 Place of Event Bali, Indonesia Publication Date 2024-01-18 Place of Publication New York Publisher Institute of Electrical and Electronics Engineers (IEEE) Pages V, 5 Language eng Abstract Marine oil pollution is a significant issue that can harm the ecosystem and threaten marine life. Early detection of oil spills is crucial for effective response and mitigation. In this regard, satellite technology offers a promising solution, particularly satellites equipped with radar sensors. One such satellite that can be utilized is the Sentinel-1 Radar Satellite, which can detect oil spills in marine environments. This study used Sentinel-1 Synthetic Aperture Radar (SAR) imagery to detect and assess oil spills in the coastal waters of Bintan, Indonesia. The high-resolution VV polarization data of Sentinel1 SAR enables the identification of surface roughness, making it suitable for distinguishing oil slicks on the ocean surface. Spectral comparison and a 1.7 to 2 dB threshold were applied to discriminate the oil spill objects. Wind speed estimation from the SAR images enhanced the accuracy of oil spill detection, with wind speeds ranging from 3 to 6 m/s proving suitable for discrimination. The results emphasize the necessity for ongoing surveillance and efficient management techniques to lessen the environmental effects of oil spills in Bintan’s coastal areas. UNBIS Thesaurus OIL SPILLS
REMOTE SENSING
ENVIRONMENTAL IMPACT ASSESSMENT
INDONESIA
COASTAL AREASKeyword Bintan
Sentinel-1Copyright Holder Institute of Electrical and Electronics Engineers (IEEE) Copyright Year 2023 Copyright type All rights reserved ISBN 9798350393590
9798350393606DOI 10.1109/APSAR58496.2023.10388813 -
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