Write your message
Summer and Fall 2021                   Back to the articles list | Back to browse issues page

XML Print


1- Iranian National Institute for Oceanography and Atmospheric Science (INIOAS)
2- Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University
Abstract:   (205 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.
Full-Text [PDF 444 kb]   (58 Downloads)    
Type of Study: Research Paper | Subject: Environmental Study
Received: 2022/04/24 | Accepted: 2022/09/5

References
1. A. L. New and R. D. Pingree, "An intercomparison of internal solitary waves in the Bay of Biscay and resulting from Korteweg-de Vries-type theory," Prog. Oceanogr., vol. 45, no. 1, pp. 1-38, 2000. [DOI:10.1016/S0079-6611(99)00049-X]
2. J. R. Apel, "Oceanic internal waves and solitons," An atlas Ocean. Intern. solitary waves, vol. 322, pp. 1-40, 2002.
3. A. S. Epifanova, A. V Rybin, T. E. Moiseenko, O. E. Kurkina, A. A. Kurkin, and D. Y. Tyugin, "Database of observations of the internal waves in the world ocean," Phys. Oceanogr., vol. 26, no. 4, pp. 350-356, 2019.
4. A. A. Kurekin, P. E. Land, and P. I. Miller, "Internal waves at the UK continental shelf: Automatic mapping using the ENVISAT ASAR sensor," Remote Sens., vol. 12, no. 15, p. 2476, 2020. [DOI:10.3390/rs12152476]
5. X. Zhang et al., "Oceanic internal wave amplitude retrieval from satellite images based on a data-driven transfer learning model," Remote Sens. Environ., vol. 272, p. 112940, 2022. [DOI:10.1016/j.rse.2022.112940]
6. S. Andi, A. Rashidi Ebrahim Hesari, and H. Farjami, "Detection of internal waves in the Persian Gulf," Remote Sens. Lett., vol. 12, no. 2, pp. 190-198, 2021. [DOI:10.1080/2150704X.2020.1847349]
7. A. Rashidi Ebrahim Hesari, S. Andi, and H. Farjami, "Study of Internal Waves in the Persian Gulf Using Field Data and Satellite Images," Int. J. Coast. Offshore Eng., vol. 2, no. 4, pp. 9-16, 2019. [DOI:10.29252/ijcoe.2.4.9]
8. Z. Zhao, V. V Klemas, Q. Zheng, and X. Yan, "Satellite observation of internal solitary waves converting polarity," Geophys. Res. Lett., vol. 30, no. 19, 2003. [DOI:10.1029/2003GL018286]
9. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., no. 6, pp. 679-698, 1986. [DOI:10.1109/TPAMI.1986.4767851]
10. T. Sahoo and S. Pine, "Design and simulation of various edge detection techniques using Matlab Simulink," in 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 2016, pp. 1224-1228. [DOI:10.1109/SCOPES.2016.7955636]

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
International Journal of Maritime Technology is licensed under a

Creative Commons Attribution-NonCommercial 4.0 International License.