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UID:pretalx-foss4g-2026-9FN7PW@talks.osgeo.org
DTSTART;TZID=JST:20260902T110000
DTEND;TZID=JST:20260902T113000
DESCRIPTION:OGC API Environmental Data Retrieval is a powerful new API stan
 dard for accessing time series data about geospatial areas. This session w
 ill explain how EDR standardizes time series data access and how it can be
  integrated with RDF vocabularies and JSON-LD to standardize cross-organiz
 ational terminology.
DTSTAMP:20260605T004649Z
LOCATION:Conference Management Room5
SUMMARY:Standardizing Geospatial Time Series Access with OGC API EDR and RD
 F Linked Data Standards - Benjamin Webb\, Colton Loftus
URL:https://talks.osgeo.org/foss4g-2026/talk/9FN7PW/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-foss4g-2026-GFYMJ7@talks.osgeo.org
DTSTART;TZID=JST:20260902T135000
DTEND;TZID=JST:20260902T135500
DESCRIPTION:Cloud Native Geospatial formats like FlatGeobuf and GeoParquet 
 allow applications to access geospatial data directly from an object store
  with no API server maintenance. This session will explain how the Geoconn
 ex project has leveraged such formats to improve the user experience of an
 alyzing hydrological information across the United States.
DTSTAMP:20260605T004649Z
LOCATION:Ran1
SUMMARY:Improving Water Data Access with Cloud Native Geospatial Formats - 
 Colton Loftus
URL:https://talks.osgeo.org/foss4g-2026/talk/GFYMJ7/
END:VEVENT
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UID:pretalx-foss4g-2026-R7GEQB@talks.osgeo.org
DTSTART;TZID=JST:20260903T140000
DTEND;TZID=JST:20260903T143000
DESCRIPTION:pygeoapi is one of the most popular open source solutions for d
 eploying OGC compliant geospatial APIs. This session will explain best pra
 ctices for deploying pygeoapi and scaling it within a cloud native\, conta
 inerized\, and horizontally scalable deployment.
DTSTAMP:20260605T004649Z
LOCATION:Conference Management Room5
SUMMARY:Running pygeoapi Cloud Native at Scale - Benjamin Webb\, Colton Lof
 tus
URL:https://talks.osgeo.org/foss4g-2026/talk/R7GEQB/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-foss4g-2026-ZKUQYS@talks.osgeo.org
DTSTART;TZID=JST:20260903T150000
DTEND;TZID=JST:20260903T153000
DESCRIPTION:Geoconnex links hydrologic data across many government agencies
  in the United States as a knowledge graph\, published in accordance with 
 W3C Spatial Data on the Web best practices. This session will provide an o
 verview of Geoconnex and how to access its data using either SPARQL\, OGC 
 API Features\, or GeoParquet.
DTSTAMP:20260605T004649Z
LOCATION:Conference Management Room6
SUMMARY:Geoconnex: Standardizing Water Data in the United States through a 
 Unified Graph Database - Benjamin Webb\, Colton Loftus
URL:https://talks.osgeo.org/foss4g-2026/talk/ZKUQYS/
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