Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective
Climate change poses significant threats to oceans, leading to ocean acidification, sea level rise, and sea ice loss and so on. At the same time, oceans play a crucial role in climate change mitigation and adaptation, offering solutions such as renewable energy and carbon sequestration. Moreover, th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/13/2306 |
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| author | Xin Qiao Ke Zhang Weimin Huang |
| author_facet | Xin Qiao Ke Zhang Weimin Huang |
| author_sort | Xin Qiao |
| collection | DOAJ |
| description | Climate change poses significant threats to oceans, leading to ocean acidification, sea level rise, and sea ice loss and so on. At the same time, oceans play a crucial role in climate change mitigation and adaptation, offering solutions such as renewable energy and carbon sequestration. Moreover, the availability of diverse ocean data sources, both remote sensing observations and in situ measurements, provides unprecedented opportunities to monitor these processes. Remote sensing data, with its extensive spatial coverage and accessibility, forms the foundation for accurately capturing changes in ocean conditions and developing data-driven solutions. This review explores the dual relationship between climate change and oceans, focusing on the impacts of climate change on oceans and ocean-based strategies to combat these challenges. From the artificial intelligence perspective, this study systematically analyzes recent advances in applying deep learning techniques to understand changes in ocean physical properties and marine ecosystems, as well as to optimize ocean-based climate solutions. By evaluating existing methodologies and identifying knowledge gaps, this review highlights the pivotal role of deep learning in advancing ocean-related climate research, outlines existing current challenges, and provides insights into potential future directions. |
| format | Article |
| id | doaj-art-02b4515538c64afdb418ccd58a91fc8e |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-02b4515538c64afdb418ccd58a91fc8e2025-08-20T03:28:59ZengMDPI AGRemote Sensing2072-42922025-07-011713230610.3390/rs17132306Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning PerspectiveXin Qiao0Ke Zhang1Weimin Huang2Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, CanadaInformation Science and Technology College, Dalian Maritime University, Dalian 116026, ChinaFaculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, CanadaClimate change poses significant threats to oceans, leading to ocean acidification, sea level rise, and sea ice loss and so on. At the same time, oceans play a crucial role in climate change mitigation and adaptation, offering solutions such as renewable energy and carbon sequestration. Moreover, the availability of diverse ocean data sources, both remote sensing observations and in situ measurements, provides unprecedented opportunities to monitor these processes. Remote sensing data, with its extensive spatial coverage and accessibility, forms the foundation for accurately capturing changes in ocean conditions and developing data-driven solutions. This review explores the dual relationship between climate change and oceans, focusing on the impacts of climate change on oceans and ocean-based strategies to combat these challenges. From the artificial intelligence perspective, this study systematically analyzes recent advances in applying deep learning techniques to understand changes in ocean physical properties and marine ecosystems, as well as to optimize ocean-based climate solutions. By evaluating existing methodologies and identifying knowledge gaps, this review highlights the pivotal role of deep learning in advancing ocean-related climate research, outlines existing current challenges, and provides insights into potential future directions.https://www.mdpi.com/2072-4292/17/13/2306climate changeoceansremote sensingimpactssolutionsmachine learning |
| spellingShingle | Xin Qiao Ke Zhang Weimin Huang Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective Remote Sensing climate change oceans remote sensing impacts solutions machine learning |
| title | Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective |
| title_full | Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective |
| title_fullStr | Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective |
| title_full_unstemmed | Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective |
| title_short | Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective |
| title_sort | impacts of climate change on oceans and ocean based solutions a comprehensive review from the deep learning perspective |
| topic | climate change oceans remote sensing impacts solutions machine learning |
| url | https://www.mdpi.com/2072-4292/17/13/2306 |
| work_keys_str_mv | AT xinqiao impactsofclimatechangeonoceansandoceanbasedsolutionsacomprehensivereviewfromthedeeplearningperspective AT kezhang impactsofclimatechangeonoceansandoceanbasedsolutionsacomprehensivereviewfromthedeeplearningperspective AT weiminhuang impactsofclimatechangeonoceansandoceanbasedsolutionsacomprehensivereviewfromthedeeplearningperspective |