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UID:pretalx-foss4g-2025-DXRKGK@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251121T143000
DTEND;TZID=NZST:20251121T145500
DESCRIPTION:Improved communication of flood risk via advanced visualisation
  could lead to increased and wider understanding of flooding\, and therefo
 re improved planning decisions and reduced impacts. We demonstrate the rep
 resentation of modelled flood scenarios within virtual reality\, and an op
 en-source Python package for ingesting flood model outputs into Unreal Eng
 ine.
DTSTAMP:20260504T204136Z
LOCATION:WG802
SUMMARY:Virtually flooded: representing flood model predictions in virtual 
 reality for improved public engagement and understanding of risk - Matthew
  Wilson\, Luke Parkinson
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/DXRKGK/
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