Artificial Intelligence for Ocean Remote Sensing
The use of Artificial Intelligence (AI) has the potential to revolutionize the way we collect, analyze, and interpret data from the vast and complex oceans. AI oceanography has demonstrated its capability in the handling of various oceanic problems, from monitoring marine ecosystems and the environm...
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| Format: | Online |
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| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online Access: | ONIX_20250812T110751_9783725836093_96 |
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| collection | Directory of Open Access Books |
| description | The use of Artificial Intelligence (AI) has the potential to revolutionize the way we collect, analyze, and interpret data from the vast and complex oceans. AI oceanography has demonstrated its capability in the handling of various oceanic problems, from monitoring marine ecosystems and the environment to predicting ocean currents and weather patterns. Concurrently, propelled by the continuous development of remote sensing techniques over recent decades, ocean observation has entered the big data era. An increasing number of ocean satellites equipped with broad sensors have been deployed to view oceans from large-scale and high-resolution perspectives. The fusion of AI and remote sensing has unleased great potential in dealing with remote sensing retrieval, feature/pattern recognition, and reconstruction problems. The underlying rules of hidden correlation can be revealed from the collected data to advance our understanding of oceans and contribute to more effective protection and management efforts. By further combining these with other oceanic data, such as numerical models and re-analyses, the challenges faced by traditional oceanography can be effectively mitigated, and a new data-driven direction for ocean remote sensing can emerge as a new paradigm. |
| format | Online |
| id | doab-20.500.12854ir-165340 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1653402025-08-12T09:22:35Z Artificial Intelligence for Ocean Remote Sensing Su, Hua Lu, Wenfang Yan, Xiao-Hai ocean remote sensing artificial intelligence oceanography machine learning and deep learning big data mining ocean and coastal environment thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general The use of Artificial Intelligence (AI) has the potential to revolutionize the way we collect, analyze, and interpret data from the vast and complex oceans. AI oceanography has demonstrated its capability in the handling of various oceanic problems, from monitoring marine ecosystems and the environment to predicting ocean currents and weather patterns. Concurrently, propelled by the continuous development of remote sensing techniques over recent decades, ocean observation has entered the big data era. An increasing number of ocean satellites equipped with broad sensors have been deployed to view oceans from large-scale and high-resolution perspectives. The fusion of AI and remote sensing has unleased great potential in dealing with remote sensing retrieval, feature/pattern recognition, and reconstruction problems. The underlying rules of hidden correlation can be revealed from the collected data to advance our understanding of oceans and contribute to more effective protection and management efforts. By further combining these with other oceanic data, such as numerical models and re-analyses, the challenges faced by traditional oceanography can be effectively mitigated, and a new data-driven direction for ocean remote sensing can emerge as a new paradigm. 2025-08-12T09:22:33Z 2025-08-12T09:22:33Z 2025 book ONIX_20250812T110751_9783725836093_96 9783725836093 9783725836109 https://directory.doabooks.org/handle/20.500.12854/165340 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10705 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3610-9 10.3390/books978-3-7258-3610-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725836093 9783725836109 262 open access |
| spellingShingle | ocean remote sensing artificial intelligence oceanography machine learning and deep learning big data mining ocean and coastal environment thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Artificial Intelligence for Ocean Remote Sensing |
| title | Artificial Intelligence for Ocean Remote Sensing |
| title_full | Artificial Intelligence for Ocean Remote Sensing |
| title_fullStr | Artificial Intelligence for Ocean Remote Sensing |
| title_full_unstemmed | Artificial Intelligence for Ocean Remote Sensing |
| title_short | Artificial Intelligence for Ocean Remote Sensing |
| title_sort | artificial intelligence for ocean remote sensing |
| topic | ocean remote sensing artificial intelligence oceanography machine learning and deep learning big data mining ocean and coastal environment thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | ocean remote sensing artificial intelligence oceanography machine learning and deep learning big data mining ocean and coastal environment thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20250812T110751_9783725836093_96 |