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UID:pretalx-foss4g-2026-EJSQEP@talks.osgeo.org
DTSTART;TZID=JST:20260901T163000
DTEND;TZID=JST:20260901T170000
DESCRIPTION:We'll discuss recent advancements in fAIr. Specifically\, we'll
  explore our approach to enabling developers to share their GeoAI models f
 or humanitarian mapping purposes. We'll also dive into the development of 
 our MLOps architecture\, which leverages STAC\, MLM\, Zenml\, and Kubernet
 es to run models independently in the cloud.
DTSTAMP:20260604T220635Z
LOCATION:Conference Management Room1
SUMMARY:Sharing your GeoSpatial Models \, MLOps Architecture in fAIr - Sam 
 Woodcock\, Kshitij Raj Sharma\, Omran NAJJAR
URL:https://talks.osgeo.org/foss4g-2026/talk/EJSQEP/
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UID:pretalx-foss4g-2026-JPVSXA@talks.osgeo.org
DTSTART;TZID=JST:20260902T140000
DTEND;TZID=JST:20260902T143000
DESCRIPTION:We share how the Open Exposure Taxonomy integrates several open
  data taxonomies and improves the quality of data for disaster risk.
DTSTAMP:20260604T220635Z
LOCATION:Conference Management Room4
SUMMARY:Using Building Exposure Taxonomies in HOT Workflows - Sam Woodcock\
 , Doren Calliku
URL:https://talks.osgeo.org/foss4g-2026/talk/JPVSXA/
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UID:pretalx-foss4g-2026-7FML9X@talks.osgeo.org
DTSTART;TZID=JST:20260902T173000
DTEND;TZID=JST:20260902T180000
DESCRIPTION:Using cheap 250 g consumer drones introduces challenges when pr
 ocessing imagery at scale. At HOTOSM we have been refining workflows along
 side OpenDroneMap to process areas of <100 km² captured using drones such
  as the DJI Mini series\, combining drone-specific correction techniques w
 ith scalable Kubernetes-native processing pipelines.
DTSTAMP:20260604T220635Z
LOCATION:Himawari
SUMMARY:City-scale imagery generation using a handful of cheap consumer dro
 nes - Sam Woodcock
URL:https://talks.osgeo.org/foss4g-2026/talk/7FML9X/
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