The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia

Marine pollution is one of issues that is widely discussed such as marine debris, chemical contamination, and oil spill. It has many impacts on the environment. Remote sensing helps detect the presence of an oil spill via satellite platform. One commonly used satellite is Synthetic-Aperture Radar (S...

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Main Authors: Afgatiani, P. M., Suhadha, A. G., Ibrahim, A.
Format: Conference or Workshop Item PeerReviewed
Language:English
Published: 2022
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Online Access:https://repository.ugm.ac.id/282144/1/Afgatiani_2022_The%20capability%20of%20Sentinel-1%20polarization%20combinations%20for%20oil.pdf
https://repository.ugm.ac.id/282144/
https://iopscience.iop.org/article/10.1088/1755-1315/1109/1/012078
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spelling id-ugm-repo.2821442023-11-29T06:47:50Z https://repository.ugm.ac.id/282144/ The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia Afgatiani, P. M. Suhadha, A. G. Ibrahim, A. Geodesy Marine pollution is one of issues that is widely discussed such as marine debris, chemical contamination, and oil spill. It has many impacts on the environment. Remote sensing helps detect the presence of an oil spill via satellite platform. One commonly used satellite is Synthetic-Aperture Radar (SAR) imagery, which can see oil spills even in cloudy conditions. However, the black and white appearance of the radar sometimes makes it difficult to distinguish between an oil spill and look alike. Therefore, this study aims to determine the polarization combination in the Sentinel-1 SAR imagery. Sentinel-1 Single Look Complex (SLC) is used as input and processes through various stages to obtain Coherence Vertical-Vertical (VV) and Vertical-Horizontal (VH) results. There are four steps for processing the data; convert the data to backscattering coefficient from SLC data, stacking, Terrain Observation by Progressive Scan (TOPS) coherence, and building the robust combinations. The polarization in the Sentinel-1 was calculated to determine artificial bands for the correct combination, namely Divide (VV/VH) as band 1, Average ((VV+VH)/2) as band 2, Multiple (VVxVH) as band 3, Add (VV+VH) as band 4, and Subtract (VV-VH) as band 5. Furthermore, the determination of the band used in the polarization composite display is based on the intensity value. As a result, the recommendation for Sentinel-1 polarization is obtained, which involves bands 2, 3, and 5. © Published under licence by IOP Publishing Ltd. 2022 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/282144/1/Afgatiani_2022_The%20capability%20of%20Sentinel-1%20polarization%20combinations%20for%20oil.pdf Afgatiani, P. M. and Suhadha, A. G. and Ibrahim, A. (2022) The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia. In: International Symposium On Disaster Risk Reduction, Mitigation and Environmental Sciences. https://iopscience.iop.org/article/10.1088/1755-1315/1109/1/012078
institution Universitas Gadjah Mada
building UGM Library
continent Asia
country Indonesia
Indonesia
content_provider UGM Library
collection Repository Civitas UGM
language English
topic Geodesy
spellingShingle Geodesy
Afgatiani, P. M.
Suhadha, A. G.
Ibrahim, A.
The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia
description Marine pollution is one of issues that is widely discussed such as marine debris, chemical contamination, and oil spill. It has many impacts on the environment. Remote sensing helps detect the presence of an oil spill via satellite platform. One commonly used satellite is Synthetic-Aperture Radar (SAR) imagery, which can see oil spills even in cloudy conditions. However, the black and white appearance of the radar sometimes makes it difficult to distinguish between an oil spill and look alike. Therefore, this study aims to determine the polarization combination in the Sentinel-1 SAR imagery. Sentinel-1 Single Look Complex (SLC) is used as input and processes through various stages to obtain Coherence Vertical-Vertical (VV) and Vertical-Horizontal (VH) results. There are four steps for processing the data; convert the data to backscattering coefficient from SLC data, stacking, Terrain Observation by Progressive Scan (TOPS) coherence, and building the robust combinations. The polarization in the Sentinel-1 was calculated to determine artificial bands for the correct combination, namely Divide (VV/VH) as band 1, Average ((VV+VH)/2) as band 2, Multiple (VVxVH) as band 3, Add (VV+VH) as band 4, and Subtract (VV-VH) as band 5. Furthermore, the determination of the band used in the polarization composite display is based on the intensity value. As a result, the recommendation for Sentinel-1 polarization is obtained, which involves bands 2, 3, and 5. © Published under licence by IOP Publishing Ltd.
format Conference or Workshop Item
PeerReviewed
author Afgatiani, P. M.
Suhadha, A. G.
Ibrahim, A.
author_facet Afgatiani, P. M.
Suhadha, A. G.
Ibrahim, A.
author_sort Afgatiani, P. M.
title The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia
title_short The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia
title_full The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia
title_fullStr The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia
title_full_unstemmed The capability of Sentinel-1 polarization combinations for oil spill detection: study case Karawang, Indonesia
title_sort capability of sentinel-1 polarization combinations for oil spill detection: study case karawang, indonesia
publishDate 2022
url https://repository.ugm.ac.id/282144/1/Afgatiani_2022_The%20capability%20of%20Sentinel-1%20polarization%20combinations%20for%20oil.pdf
https://repository.ugm.ac.id/282144/
https://iopscience.iop.org/article/10.1088/1755-1315/1109/1/012078
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