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 |