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:: Volume 11, Issue 4 (6-2022) ::
JGST 2022, 11(4): 55-65 Back to browse issues page
Oil spill detection using Sentinel-1 and Landsat-8 images
M. Mohammadi, A. R. Sharifi *
Abstract:   (145 Views)
Environmental pollution and disasters have gradually increased with population growth. The presence of oil resources in the seas and the incidents related to their discovery, extraction and transportation cause the formation of oil slicks on the sea surface, and the leakage of these petroleum products into the seas has irreparable environmental consequences. That is why monitoring the effects of these accidents is very important for public health. Satellite missions are a very effective tool for detecting pollutants such as oil spills. Artificial Aperture Radar Sensor (SAR) is an active microwave detection system that can be used to detect oil leaks with optical sensors installed on Landsat-8, Sentinel-2 and Ester satellite systems, taking into account cloud cover and satellite re-visit time at the same location. Be. In this study, the oil spill area due to pipe leakage in Khark Island was studied with Landsat-8 and Sentinel-1 satellite images. Various image processing techniques were applied to Landsat-8 bands to highlight oil spills in connection with the accident, such as morphology and convolution filters. We used Landsat-8 images to support the Sentinel-1 results. Oil spills were successfully detected by analyzing SAR data and Landsat-8 results, and by visually interpreting the results, the selected methods are consistent in terms of displaying oil spill areas.
Article number: 5
Keywords: Oil spill, Sentinel-1, Landsat-8, image processing
Full-Text [PDF 975 kb]   (84 Downloads)    
Type of Study: Research | Subject: GIS
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Mohammadi M, Sharifi A R. Oil spill detection using Sentinel-1 and Landsat-8 images. JGST. 2022; 11 (4) :55-65
URL: http://jgst.issge.ir/article-1-1029-en.html


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Volume 11, Issue 4 (6-2022) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology