Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform
Preventing environmental damage from oil spills has always been considered a big challenge for marine communities. In the meantime, the first step in facing this problem is to reveal and identify the pollution as soon as possible in order to control its spread and adverse effects. Traditional method...
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| Format: | Article |
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I.R. of Iran Meteorological Organization
2023-03-01
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| Series: | Nīvār |
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| Online Access: | https://nivar.irimo.ir/article_179451_13c1331a64b1a8c7d83198103d771c00.pdf |
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| author | Ali Kourosh Niya Ali Ashrafi |
| author_facet | Ali Kourosh Niya Ali Ashrafi |
| author_sort | Ali Kourosh Niya |
| collection | DOAJ |
| description | Preventing environmental damage from oil spills has always been considered a big challenge for marine communities. In the meantime, the first step in facing this problem is to reveal and identify the pollution as soon as possible in order to control its spread and adverse effects. Traditional methods that are based on field visits are costly and time-consuming due to the need for equipment and manpower. Therefore, the use of methods based on remote sensing technology and satellite images has been significantly developed recently. In this research, the capabilities of Synthetic Aperture Radar-SAR data, Google Earth Engine, and Geographic Information System environment were used in the form of an integrated framework to accelerate the process of identifying oil slicks. Based on the method of this research, first, the area of interest was determined and the SAR data of the Sentinel 1 satellite was selected in the Google Earth Engine environment. In the next step, oil slicks were revealed through filtering. In order to check the accuracy of the method, the results were compared with records of pollution events in the area of study. Comparing the obtained results with oil pollution events in the study area shows the appropriate efficiency of the proposed framework for detecting oil stains. |
| format | Article |
| id | doaj-art-a1eaff1fb20f4e81af601df243bd6f3d |
| institution | Kabale University |
| issn | 1735-0565 2645-3347 |
| language | fas |
| publishDate | 2023-03-01 |
| publisher | I.R. of Iran Meteorological Organization |
| record_format | Article |
| series | Nīvār |
| spelling | doaj-art-a1eaff1fb20f4e81af601df243bd6f3d2025-01-05T10:53:24ZfasI.R. of Iran Meteorological OrganizationNīvār1735-05652645-33472023-03-0147120-12112713610.30467/nivar.2023.416943.1262179451Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine PlatformAli Kourosh Niya0Ali Ashrafi1Ports and Maritime Organization(PMO)Department of Geography, Faculty of Literature and Humanities, University of BirjandPreventing environmental damage from oil spills has always been considered a big challenge for marine communities. In the meantime, the first step in facing this problem is to reveal and identify the pollution as soon as possible in order to control its spread and adverse effects. Traditional methods that are based on field visits are costly and time-consuming due to the need for equipment and manpower. Therefore, the use of methods based on remote sensing technology and satellite images has been significantly developed recently. In this research, the capabilities of Synthetic Aperture Radar-SAR data, Google Earth Engine, and Geographic Information System environment were used in the form of an integrated framework to accelerate the process of identifying oil slicks. Based on the method of this research, first, the area of interest was determined and the SAR data of the Sentinel 1 satellite was selected in the Google Earth Engine environment. In the next step, oil slicks were revealed through filtering. In order to check the accuracy of the method, the results were compared with records of pollution events in the area of study. Comparing the obtained results with oil pollution events in the study area shows the appropriate efficiency of the proposed framework for detecting oil stains.https://nivar.irimo.ir/article_179451_13c1331a64b1a8c7d83198103d771c00.pdfoil slicksremote sensingsynthetic aperture radar-sargoogle earth engine |
| spellingShingle | Ali Kourosh Niya Ali Ashrafi Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform Nīvār oil slicks remote sensing synthetic aperture radar-sar google earth engine |
| title | Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform |
| title_full | Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform |
| title_fullStr | Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform |
| title_full_unstemmed | Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform |
| title_short | Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform |
| title_sort | detecting oil slicks using sar radar images and the google earth engine platform |
| topic | oil slicks remote sensing synthetic aperture radar-sar google earth engine |
| url | https://nivar.irimo.ir/article_179451_13c1331a64b1a8c7d83198103d771c00.pdf |
| work_keys_str_mv | AT alikouroshniya detectingoilslicksusingsarradarimagesandthegoogleearthengineplatform AT aliashrafi detectingoilslicksusingsarradarimagesandthegoogleearthengineplatform |