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UID:pretalx-foss4g-2025-XKFCXZ@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251119T120000
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DESCRIPTION:Digital Twins address the fundamental challenges created by lar
 ge volumes of geospatial data by enabling automated\, near-real time proce
 ssing and analysis\, reducing the gap between data and the insights needed
  for decision-making. Here we present our open-source digital twin softwar
 e framework\, demonstrated through automated flood risk assessment.
DTSTAMP:20260505T190021Z
LOCATION:WG404
SUMMARY:Development of open-source digital twins for automated analysis of 
 flood risk - Matthew Wilson\, Luke Parkinson
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/XKFCXZ/
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