Geoinformatics for Caribbean hurricane risk management and improved community resilience

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Abstract

Caribbean countries face increasing risks from the pressures of population growth and climate-driven geohazards, particularly those associated with hurricanes. This study illustrates how geoinformatics can assist emergency planning and community resilience. Data from geomorphological and civil engineering surveys in Dominica, carried out after Hurricane Maria (2017), have been augmented with digital elevation models from satellite and aerial sensors Those datasets have been integrated into a "Digital Twin" of neighborhoods, on which computational fluid dynamics analysis has been carried out, modeling hurricane wind impacts. A decision support system has been produced for testing climate change scenarios, as well as the impacts on resilience of changes to building locations or building designs. The information provided via those technologies can guide decision makers, from national emergency planners, to community leaders and householders.
Original languageEnglish
Title of host publication2023 Joint Urban Remote Sensing Event (JURSE) Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781665493734
ISBN (Print)9781665493741
DOIs
Publication statusPublished - 8 Jun 2023
Event2023 Joint Urban Remote Sensing Event (JURSE) - Heraklion, Greece
Duration: 17 May 202319 May 2023

Publication series

Name2023 Joint Urban Remote Sensing Event (JURSE)
PublisherIEEE
ISSN (Print)2334-0932
ISSN (Electronic)2642-9535

Conference

Conference2023 Joint Urban Remote Sensing Event (JURSE)
Period17/05/2319/05/23

Keywords

  • Hurricane risk management
  • ALOS PALSAR DEM
  • LIDAR
  • drone photogrammetry
  • Digital Twin
  • fluid dynamics
  • decision support system
  • emergency planning
  • community resilience
  • UKRI
  • NERC
  • NE/RO16968/1

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