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Volume 16 - Summer and Fall 2021
ijmt 2021, 16 - Summer and Fall 2021: 107-110 |
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Farjami H, Andi S. Satellite Image Dataset of Internal Waves in the Persian Gulf. ijmt 2021; 16 :107-110
URL: http://ijmt.ir/article-1-778-en.html
URL: http://ijmt.ir/article-1-778-en.html
1- Iranian National Institute for Oceanography and Atmospheric Science (INIOAS)
2- Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University
2- Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University
Abstract: (1159 Views)
In the present article we report for the first-time satellite image dataset on the internal waves of the Persian Gulf. These data include more than 3000 satellite images from Landsat 7, Landsat 8, Santinel-1, Santinel-2 and ASTER across the Persian Gulf, in which more than 400 images were detected internal waves during 2000 - 2015. The Prewitt and Canny's edge detection algorithm have been used to show internal waves in the satellite images. Also, some characteristics of internal waves, such as propagation direction, crest length, wavelength, width of solitons, length and area of packets and the distance of two consecutive packets inferred from imagery. This dataset of satellite images provides the main information for the analysis of internal waves in the Persian Gulf, which have been recorded in all seasons and in suitable weather conditions.
Type of Study: Research Paper |
Subject:
Environmental Study
Received: 2022/04/24 | Accepted: 2022/09/5
Received: 2022/04/24 | Accepted: 2022/09/5
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International Journal of Maritime Technology is licensed under a
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