Oil Spill Detection and Mapping Using Sentinel 2 Imagery

Kolokoussis, Polychronis; Karathanassi, Vassilia

doi:10.3390/jmse6010004

Cited by 89 publications

(58 citation statements)

References 17 publications

(16 reference statements)

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“…This research used satellite data and in-situ data to obtain oil spill visualization and the reflectance for each band. Sentinel-2 was used as satellite data because Sentinel-2 imagery provided more consistent results to detect oil spills using OBIA methods with a high degree of capability (Kolokoussis & Karathanassi, 2018). Another advantage of Sentinel-2 is it provides spatial resolution at 10 m. It is relatively high compared to other medium-resolution satellite imagery, such as Landsat-8 at 30 m. As Sentinel-2 is a multispectral satellite, it has 13 bands with different wavelengths in each band.…”

Section: Methodsmentioning

confidence: 99%

“…Remote sensing technology has the ability to perform oil spill detection quickly, effectively, and in vast areas. Remote sensing has several sensors that can be used to detect oil spills, including synthetic aperture radar (SAR) (Fan et al, 2010;Sulma et al, 2019) and optical remote sensing includes multispectral (Kolokoussis & Karathanassi, 2018), hyperspectral (Lu et al, 2014), thermal infrared (Fingas & Brown, 1997) to multi-angular (Chust & Sagarminaga, 2007) and combination between SAR and optical (Setiani & Ramdani, 2019).…”

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confidence: 99%

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Determination of Sentinel-2 spectral reflectance to detect oil spill on the sea surface

Afgatiani

Putri²,

Suhadha³

et al. 2020

SJES

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Oil spill is one of the most common marine environmental problems. Oil spills can be caused by leakage at oil refineries at sea or disposal of vessel waste. This event has an impact on various sectors, such as fisheries, tourism, and marine ecosystems. This study aims to determine the spectral reflectance of Sentinel-2 response to detecting oil spill on the sea. Oil identification in the sea can be made visually by looking at colored patterns at sea level. Sentinel-2 image reflectance was obtained by processing the image using the Google Earth Engine platform. The results were clipped according to the area of interest and divided to get a value between 0 and 1. Bands combination is possible to identify the oil spill visually. The silvery pattern saw in the red-green-blue combination, but it is arduous to estimate its distribution because of the silvery pattern seen for thick oil. The combination of SWIR-NIR-red bands proved effective in showing the distribution of oil with a deep black pattern. Spectral measurements in the field were undertaken by taking samples in the areas of oil spills and clean water bodies. The oil layer had a lower reflectance than the clean water body. The blue band gave a high response, but the red band gave less response. In the NIR and SWIR bands, the reflectance of oil was lower than the water body. In conclusion, the SWIR - NIR - RED band combination is better used to determine oil spills due to it shows the characteristics of oil generally, either thin or thick oil.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Determination of Sentinel-2 spectral reflectance to detect oil spill on the sea surface

Afgatiani

Putri²,

Suhadha³

et al. 2020

SJES

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“…Garcia-Pineda et al [209] used SAR imagery from multiple sensors to detect oil near shorelines during the Deepwater Horizon oil spill. Kolokoussis and Karathanassi [210] presented a method for detecting oil spills from known natural outflows and minor spills from Sentinel-2 imagery.…”

Section: Earth Observation Potential For Monitoring Compliance With Ementioning

confidence: 99%

Remote Sensing for the Quantification of Land Surface Dynamics in Large River Delta Regions—A Review

Kuenzer

Heimhuber

Huth³

et al. 2019

Remote Sensing

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River deltas and estuaries belong to the most significant coastal landforms on our planet and are usually very densely populated. Nearly 600 million people live in river deltas, benefiting from the large variety of locational advantages and rich resources. Deltas are highly dynamic and vulnerable environments that are exposed to a wide range of natural and manmade threats. Sustainable management of river deltas therefore requires a holistic assessment of historic and recent ongoing changes and the dynamics in settlement sprawl, land cover and land use change, ecosystem development, as well as river and coastline geomorphology, all of which is difficult to achieve solely with traditional land-based surveying techniques. This review paper presents the potential of Earth Observation for analyses and quantification of land surface dynamics in the large river deltas globally, emphasizing the different geo-information products that can be derived from medium resolution, high resolution and highest resolution optical, multispectral, thermal and SAR data. Over 200 journal papers on remote sensing related studies for large river deltas and estuaries have been analyzed and categorized into thematic fields such as river course morphology, coastline changes, erosion and accretion processes, flood and inundation dynamics, regional land cover and land use dynamics, as well as the monitoring of compliance with respect to anthropogenic activity such as industry expansion-related habitat destruction. Additionally, our own exemplary analyses are interwoven into the review to visualize related delta work.

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“…To prevent a broader impact of oil spreading, nowadays experts use satellite images on small to large scale cases (Bayramov et al 2018;Brekke & Solberg 2005;Fiscella et al 2000;Kolokoussis & Karathanassi 2018;Solberg et al 2007). Remote sensing data are becoming more accessible recently and some of it can be applied to detect oil spills (Harahsheh 2016).…”

Section: Introductionmentioning

confidence: 99%

Reconstruction Of Oil Spill Trajectory In The Java Sea, Indonesia Using Sar Imagery

Abimanyu

Pranowo

Faizal

et al. 2021

GES

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Oil spill phenomena in the ocean possess a very serious threat to ocean health. On the ocean surface, oil slicks immediately start to spread and mostly end up in the ecosystem. Furthermore, it could threaten the organisms living in the ocean or impact nearby coastal area. The aim of this research was to investigate the trajectories of oil spill based on a real accident in the Java Sea. Tracking oil spills using satellite images is an efficient method that provides valuable information about trajectories, locations and the spread intensity. The objective of this study was to periodically track the trajectory of the oil spill from the Karawang incident using Sentinel-1 Synthetic Aperture Radar (SAR) images. Pre-processing of the images consisted of radiometric and geometric corrections. After the corrections, SAR images were mapped and plotted accordingly. To understand the oil spill trajectories in relation to the oceanic processes, the ocean current pattern map and surface wind roses were also analysed. The processed images from July to October 2019 show a trajectory dominated by the oil spill layers movement towards the west to northwest from the original location along with a decrease in the detected oil spill area over time. The identified trajectories of the oil spill followed the ocean current pattern and surface winds. Thus, these two parameters were considered to be the main factors responsible for the oil spill drift.

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Oil Spill Detection and Mapping Using Sentinel 2 Imagery

Cited by 89 publications

References 17 publications

Determination of Sentinel-2 spectral reflectance to detect oil spill on the sea surface

Determination of Sentinel-2 spectral reflectance to detect oil spill on the sea surface

Remote Sensing for the Quantification of Land Surface Dynamics in Large River Delta Regions—A Review

Reconstruction Of Oil Spill Trajectory In The Java Sea, Indonesia Using Sar Imagery

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