MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES

Satellite imagery is an indispensable tool in operational oil spills mapping. The smooth surface of oil sleeks make them visible in Synthetic Aperture Radar (SAR) imagery due to the low backscatter values making the oil spills distinctly dark in SAR images compared to the surrounding water. Oil exte...

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Main Authors: P. L. A. Hilario, R. M. de la Cruz, D. C. D. Vergara, A. J. Sabuito, N. J. Borlongan, J. I. Tabardillo
Format: Article
Language:English
Published: Copernicus Publications 2023-12-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-1-W1-2023/1137/2023/isprs-annals-X-1-W1-2023-1137-2023.pdf
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author P. L. A. Hilario
R. M. de la Cruz
D. C. D. Vergara
A. J. Sabuito
N. J. Borlongan
J. I. Tabardillo
author_facet P. L. A. Hilario
R. M. de la Cruz
D. C. D. Vergara
A. J. Sabuito
N. J. Borlongan
J. I. Tabardillo
author_sort P. L. A. Hilario
collection DOAJ
description Satellite imagery is an indispensable tool in operational oil spills mapping. The smooth surface of oil sleeks make them visible in Synthetic Aperture Radar (SAR) imagery due to the low backscatter values making the oil spills distinctly dark in SAR images compared to the surrounding water. Oil extent delineation using SAR is very common but aside from using SAR images, optical satellite images are also of great help by capitalizing on the spectral characteristics of the oil surface to isolate the oil extents. The delineated extents are post-processed in a Geographic Information System (GIS) software where the oil spill area is calculated and published as oil extent maps. Though the area can be calculated, estimating the volume of oil present in the extent map remains to be a challenge. To answer this problem, this paper proposes a Physics-based solution to calculate the thickness of the oil by analysing local maxima in the reflectance spectrum of oil-covered water. Using this technique, oil thickness was estimated from Sentinel-2 multispectral images of an oil spill. It yielded an average oil thickness estimate of 0.560 ± 0.164 microns. The calculated thickness is used to estimate the volume of spilled oil.
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spelling doaj.art-d2e782f1bf4045039c7a9a3c7586a9462023-12-08T15:30:10ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502023-12-01X-1-W1-20231137114210.5194/isprs-annals-X-1-W1-2023-1137-2023MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGESP. L. A. Hilario0R. M. de la Cruz1D. C. D. Vergara2A. J. Sabuito3N. J. Borlongan4J. I. Tabardillo5Philippine Space Agency, Quezon City 1109, PhilippinesPhilippine Space Agency, Quezon City 1109, PhilippinesPhilippine Space Agency, Quezon City 1109, PhilippinesPhilippine Space Agency, Quezon City 1109, PhilippinesPhilippine Space Agency, Quezon City 1109, PhilippinesPhilippine Space Agency, Quezon City 1109, PhilippinesSatellite imagery is an indispensable tool in operational oil spills mapping. The smooth surface of oil sleeks make them visible in Synthetic Aperture Radar (SAR) imagery due to the low backscatter values making the oil spills distinctly dark in SAR images compared to the surrounding water. Oil extent delineation using SAR is very common but aside from using SAR images, optical satellite images are also of great help by capitalizing on the spectral characteristics of the oil surface to isolate the oil extents. The delineated extents are post-processed in a Geographic Information System (GIS) software where the oil spill area is calculated and published as oil extent maps. Though the area can be calculated, estimating the volume of oil present in the extent map remains to be a challenge. To answer this problem, this paper proposes a Physics-based solution to calculate the thickness of the oil by analysing local maxima in the reflectance spectrum of oil-covered water. Using this technique, oil thickness was estimated from Sentinel-2 multispectral images of an oil spill. It yielded an average oil thickness estimate of 0.560 ± 0.164 microns. The calculated thickness is used to estimate the volume of spilled oil.https://isprs-annals.copernicus.org/articles/X-1-W1-2023/1137/2023/isprs-annals-X-1-W1-2023-1137-2023.pdf
spellingShingle P. L. A. Hilario
R. M. de la Cruz
D. C. D. Vergara
A. J. Sabuito
N. J. Borlongan
J. I. Tabardillo
MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
title_full MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
title_fullStr MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
title_full_unstemmed MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
title_short MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
title_sort monitoring oil spill progression and oil spill volume using satellite images
url https://isprs-annals.copernicus.org/articles/X-1-W1-2023/1137/2023/isprs-annals-X-1-W1-2023-1137-2023.pdf
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