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UID:pretalx-foss4g-2026-C87BGX@talks.osgeo.org
DTSTART;TZID=JST:20260902T140000
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DESCRIPTION:Impact-based flood forecasting asks not "how intense?" but "who
  gets hit\, and how badly?" \n\nThis talk documents a open-source pipeline
  — Python\, PostgreSQL\, and QGIS — that translates rainfall forecasts
  and hazard layers into impact assessments for critical facilities\, with 
 honest discussion of what works\, what doesn't\, and why.
DTSTAMP:20260605T024849Z
LOCATION:Himawari
SUMMARY:Operationalizing Impact-Based Flood Forecasting Using Open Geospati
 al Pipelines in Resource-Limited Contexts - Feye Andal
URL:https://talks.osgeo.org/foss4g-2026/talk/C87BGX/
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