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Exploring the potential of open-data for oceans monitoring with AI analytics

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dc.contributor.author Mdakane, Lizwe W
dc.contributor.author Sibolla, Bolelang H
dc.contributor.author Haupt, Shelley A
dc.date.accessioned 2024-02-06T11:41:00Z
dc.date.available 2024-02-06T11:41:00Z
dc.date.issued 2023-09
dc.identifier.citation Mdakane, L.W., Sibolla, B.H. & Haupt, S.A. 2023. Exploring the potential of open-data for oceans monitoring with AI analytics. http://hdl.handle.net/10204/13574 . en_ZA
dc.identifier.issn 2194-9034
dc.identifier.uri https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1467-2023
dc.identifier.uri http://hdl.handle.net/10204/13574
dc.description.abstract Monitoring vessel activity in the ocean plays an essential role in ensuring maritime safety, environmental monitoring, and fisheries management. This article explores the importance of vessel tracking and investigates the potential of using open data for ocean monitoring using AI analysis. As satellite data demand increases, new technologies are being developed to address challenges and improve accessibility for a wider user base. This article discusses the use of AI analytics to process multiple datasets, identify ships, and track their movements. In addition, it emphasises the importance of cloud geoprocessing for accessing and analysing vast spatial data, resulting in improved decision-making and operational efficiency. In general, this article provides information on how vessel tracking can be improved for maritime safety, security, and environmental protection using open remote sensing and AI-based analysis datasets. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1467/2023/ en_US
dc.relation.uri https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1467/2023/isprs-archives-XLVIII-1-W2-2023-1467-2023.pdf en_US
dc.source The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week, Cairo, Egypt, 2-7 September 2023 en_US
dc.subject Vessel tracking en_US
dc.subject Remote sensing en_US
dc.subject Satellite open-data en_US
dc.subject AI analytics en_US
dc.subject Cloud-based geoprocessing en_US
dc.subject Ocean monitoring en_US
dc.title Exploring the potential of open-data for oceans monitoring with AI analytics en_US
dc.type Conference Presentation en_US
dc.description.pages 1467–1472 en_US
dc.description.note © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License. en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea Spatial Information Systems en_US
dc.identifier.apacitation Mdakane, L. W., Sibolla, B. H., & Haupt, S. A. (2023). Exploring the potential of open-data for oceans monitoring with AI analytics. http://hdl.handle.net/10204/13574 en_ZA
dc.identifier.chicagocitation Mdakane, Lizwe W, Bolelang H Sibolla, and Shelley A Haupt. "Exploring the potential of open-data for oceans monitoring with AI analytics." <i>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week, Cairo, Egypt, 2-7 September 2023</i> (2023): http://hdl.handle.net/10204/13574 en_ZA
dc.identifier.vancouvercitation Mdakane LW, Sibolla BH, Haupt SA, Exploring the potential of open-data for oceans monitoring with AI analytics; 2023. http://hdl.handle.net/10204/13574 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mdakane, Lizwe W AU - Sibolla, Bolelang H AU - Haupt, Shelley A AB - Monitoring vessel activity in the ocean plays an essential role in ensuring maritime safety, environmental monitoring, and fisheries management. This article explores the importance of vessel tracking and investigates the potential of using open data for ocean monitoring using AI analysis. As satellite data demand increases, new technologies are being developed to address challenges and improve accessibility for a wider user base. This article discusses the use of AI analytics to process multiple datasets, identify ships, and track their movements. In addition, it emphasises the importance of cloud geoprocessing for accessing and analysing vast spatial data, resulting in improved decision-making and operational efficiency. In general, this article provides information on how vessel tracking can be improved for maritime safety, security, and environmental protection using open remote sensing and AI-based analysis datasets. DA - 2023-09 DB - ResearchSpace DP - CSIR J1 - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week, Cairo, Egypt, 2-7 September 2023 KW - Vessel tracking KW - Remote sensing KW - Satellite open-data KW - AI analytics KW - Cloud-based geoprocessing KW - Ocean monitoring LK - https://researchspace.csir.co.za PY - 2023 SM - 2194-9034 T1 - Exploring the potential of open-data for oceans monitoring with AI analytics TI - Exploring the potential of open-data for oceans monitoring with AI analytics UR - http://hdl.handle.net/10204/13574 ER - en_ZA
dc.identifier.worklist 27529 en_US


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