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UID:pretalx-global-workshop-2026-XM77A8@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261008T120000
DTEND;TZID=Europe/Amsterdam:20261008T123000
DESCRIPTION:Acknowledging the value of earth observation data and sharing t
 he frustration in the difficulty of working with it\, just shy of 10 years
  ago a group of earth observation scientists and practitioners set out to 
 described their vision (https://r-spatial.org/2016/11/29/openeo.html) of h
 ow they would like to work with this treasure of data without falling into
  the traps of a vendor lock-in\, custom codes for data access and the need
  to deal with 15 different data formats. Inspired by the way gdal solved t
 he latter of these problems for raster data driven GIS systems\, they envi
 sioned an API agnostic to both the clients programming language and the se
 rver site implementation of EO processing workflows. I joined this group o
 f like-minded researchers in the Horizon 2020 project openEO that was fund
 ed about a year after.\nDuring this keynote I will talk about the importan
 ce of open-source development and community building in conjunction with t
 he importance of public funding from the European Commission and the Europ
 ean Space Agency as the two main supporters of making this idea a reality.
  OpenEO is based on an approach of co-design and co-development\, involvin
 g both earth observation data analysts and researchers as well as software
  developers and industry service providers right from the start. It is now
  available as part of many operational service offerings\, such as openEO 
 platform\, the Copernicus Data Space Ecosystem and Destination Earth.  ope
 nEO is not only the foundation of individual service offerings\, but even 
 federations of multiple implementations\, sharing data and processing reso
 urces leveraging efficient interoperability based on cloud native data for
 mats and harmonized specifications for\, data discovery\, access\, process
 ing and sharing of results. It is fully embracing the FAIR data principles
 \, while supporting researchers and data analyst to focus on what the want
  to do instead of how the implementations needs to be optimized for modern
  scalable data infrastructures.
DTSTAMP:20260624T071220Z
LOCATION:Aula Magna
SUMMARY:openEO from an idea in a whitepaper to a community standard in the 
 geospatial data processing. - Alexander Jacob
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/XM77A8/
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