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UID:pretalx-foss4g-2022-HG7RLR@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T113000
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DESCRIPTION:As a small but scaling new space company\, Satellite Vu relies 
 heavily on open source tooling for our image production pipeline\, as well
  as storing our image assets and conducting experiments using thermal data
  sources. The company prides itself on being early adopters of emerging te
 chnologies\, particularly as standardization of satellite imagery access a
 nd reproducible science are at the core of what we stand for.\n\nIn this t
 alk\, we’ll give an overview of the main projects we lean on for all of 
 data engineering\, data science and thermal science as well as outline the
  vision for Satellite Vu’s evolving role within the open source communit
 y. Specific tools we’ll comment on our use include:\n\n1. STAC\, and the
  related stac-fastapi\, for storing and serving image collections\n2. riox
 array and stackstac for scaling our use of both internal and external clou
 d native imagery datastores\n3. The pangeo stack for running experiments a
 nd scaling data processing\n4. pygeoapi\, as a vector data server\n\nI’l
 l introduce the Satellite Vu public STAC\, and talk through how we’re us
 ing FOSS4G tools to shorten the development time of new products as well a
 s prepare for the first satellite launch in Q1 2023.
DTSTAMP:20260403T233312Z
LOCATION:Modulo 0
SUMMARY:Early use of FOSS4G in a space start up - James O'Connor
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/HG7RLR/
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