Combining multi-source data to investigate vessel wake temperature gradients and dynamic patterns
The movement of a vessel generates cold and warm wake patterns with temperature gradients on the sea surface, which provide detection possibilities for satellite-based infrared detection systems. This work analyzes the temporal characteristics of ship wake dissipation on the sea surface, based on mu...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-05-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225001566 |
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| author | Mengqi Lyu Liyuan Li Wencong Zhang Long Gao Yifan Zhong Jingjie Jiao Xiaoyan Li Fansheng Chen |
| author_facet | Mengqi Lyu Liyuan Li Wencong Zhang Long Gao Yifan Zhong Jingjie Jiao Xiaoyan Li Fansheng Chen |
| author_sort | Mengqi Lyu |
| collection | DOAJ |
| description | The movement of a vessel generates cold and warm wake patterns with temperature gradients on the sea surface, which provide detection possibilities for satellite-based infrared detection systems. This work analyzes the temporal characteristics of ship wake dissipation on the sea surface, based on multi-source data from low Earth orbit satellite thermal infrared imaging, Automatic Identification System (AIS) data, and numerical simulation results, revealing the dynamic information contained within the thermal wake. The temperature images of sea surface thermal wakes generated by vessels at different speeds were obtained using numerical simulation methods. The thermal infrared characteristics of the surface vessel wakes were verified using images from the thermal imaging spectrometer aboard the SDGSAT-1 satellite. The simulation results reveal the patterns of generation, diffusion, and attenuation of the infrared thermal wake produced by moving vessels in the ocean. By combining simulations with infrared images from the SDGSAT-1 satellite, the thermal infrared temperature characteristics of wakes on the sea surface are summarized. This method overcomes the limitations of traditional optical monitoring techniques at night, while capturing more information on sea surface temperature variations. By deeply exploring sea surface thermal signature data, this paper provides technical support for all-weather vessel speed inversion using single-satellite data. |
| format | Article |
| id | doaj-art-1660bb512dd5477b832a72789d85b9cd |
| institution | OA Journals |
| issn | 1569-8432 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj-art-1660bb512dd5477b832a72789d85b9cd2025-08-20T02:31:17ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322025-05-0113910450910.1016/j.jag.2025.104509Combining multi-source data to investigate vessel wake temperature gradients and dynamic patternsMengqi Lyu0Liyuan Li1Wencong Zhang2Long Gao3Yifan Zhong4Jingjie Jiao5Xiaoyan Li6Fansheng Chen7Shanghai Frontier Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, 200433, Fudan University, ChinaShanghai Frontier Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, 200433, Fudan University, China; Corresponding author at: Shanghai Frontier Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, 200433, Fudan University, China.State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yu Tian Road, Shanghai 200083, ChinaState Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yu Tian Road, Shanghai 200083, ChinaShanghai Frontier Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, 200433, Fudan University, ChinaShanghai Frontier Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, 200433, Fudan University, ChinaHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, ChinaShanghai Frontier Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, 200433, Fudan University, China; State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yu Tian Road, Shanghai 200083, China; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; Corresponding author at: State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, 500 Yu Tian Road, Shanghai 200083, China.The movement of a vessel generates cold and warm wake patterns with temperature gradients on the sea surface, which provide detection possibilities for satellite-based infrared detection systems. This work analyzes the temporal characteristics of ship wake dissipation on the sea surface, based on multi-source data from low Earth orbit satellite thermal infrared imaging, Automatic Identification System (AIS) data, and numerical simulation results, revealing the dynamic information contained within the thermal wake. The temperature images of sea surface thermal wakes generated by vessels at different speeds were obtained using numerical simulation methods. The thermal infrared characteristics of the surface vessel wakes were verified using images from the thermal imaging spectrometer aboard the SDGSAT-1 satellite. The simulation results reveal the patterns of generation, diffusion, and attenuation of the infrared thermal wake produced by moving vessels in the ocean. By combining simulations with infrared images from the SDGSAT-1 satellite, the thermal infrared temperature characteristics of wakes on the sea surface are summarized. This method overcomes the limitations of traditional optical monitoring techniques at night, while capturing more information on sea surface temperature variations. By deeply exploring sea surface thermal signature data, this paper provides technical support for all-weather vessel speed inversion using single-satellite data.http://www.sciencedirect.com/science/article/pii/S1569843225001566Thermal wakeSDGSAT-1High-resolution thermal infrared remote sensingShip dynamic trend |
| spellingShingle | Mengqi Lyu Liyuan Li Wencong Zhang Long Gao Yifan Zhong Jingjie Jiao Xiaoyan Li Fansheng Chen Combining multi-source data to investigate vessel wake temperature gradients and dynamic patterns International Journal of Applied Earth Observations and Geoinformation Thermal wake SDGSAT-1 High-resolution thermal infrared remote sensing Ship dynamic trend |
| title | Combining multi-source data to investigate vessel wake temperature gradients and dynamic patterns |
| title_full | Combining multi-source data to investigate vessel wake temperature gradients and dynamic patterns |
| title_fullStr | Combining multi-source data to investigate vessel wake temperature gradients and dynamic patterns |
| title_full_unstemmed | Combining multi-source data to investigate vessel wake temperature gradients and dynamic patterns |
| title_short | Combining multi-source data to investigate vessel wake temperature gradients and dynamic patterns |
| title_sort | combining multi source data to investigate vessel wake temperature gradients and dynamic patterns |
| topic | Thermal wake SDGSAT-1 High-resolution thermal infrared remote sensing Ship dynamic trend |
| url | http://www.sciencedirect.com/science/article/pii/S1569843225001566 |
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