Geo-parsing Locations during Natural Disasters for Emergency Intervention Management: A Case Study of Media Print Report of the Flood Incidence in Nigeria

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dc.contributor.authorSikiru, R.
dc.contributor.authorAdekanmbi, O.
dc.contributor.authorSoronnadi, A.
dc.contributor.authorAkanji, D.
dc.date.accessioned2024-11-04T10:28:15Z
dc.date.available2024-11-04T10:28:15Z
dc.date.issued2024-10-28
dc.description.abstractIn recent years, urban flooding has emerged as a severe and recurrent global natural disaster, leading to substantial human casualties and widespread infrastructure damage. Approximately, 23% of the world's population faces direct exposure to flood depths exceeding 0.15 meters during flood events, disproportionately affecting low- and middle-income countries. These floods result from a complex interplay of factors, including climate changes, urban development in flood-prone areas, sea-level rise, dam operations, and poor governance. The ability to quickly ascertain the specific locations affected by flooding is of paramount importance for alerting the public and enabling effective disaster response. Social media platforms and news outlets play a pivotal role in disseminating this critical information. This research introduces a comprehensive methodology tailored to identifying and visualizing flooded locations mentioned in online articles. By precisely identifying flooded places, emergency response teams will be able to allocate resources and aid those in need more efficiently during floods.
dc.identifier.citationSikiru R., Adekanmbi O., Soronnadi A. & Akanji D. (2023). “Geo-parsing Locations during Natural Disasters for Emergency Intervention Management: A Case Study of Media Print Report of the Flood Incidence in Nigeria". In Proceedings of the International Conference on Artificial Intelligence and Robotics (MIRG-ICAIR 2023), pp. 133-137, MIRG
dc.identifier.isbn978-978-767-697-4
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/13019
dc.language.isoen
dc.publisherMIRG
dc.relation.ispartofseriesMIRG-ICAIR 2023
dc.titleGeo-parsing Locations during Natural Disasters for Emergency Intervention Management: A Case Study of Media Print Report of the Flood Incidence in Nigeria
dc.typeArticle
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