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UID:pretalx-foss4g-2022-NJLY8C@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T090000
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DESCRIPTION:The applications of safe drone mobility are vast and diverse\, 
 such as pipeline inspection and large-scale crop monitoring. However\, thi
 s innovation comes with safety and security risks. Drones have caused 91 d
 isruptions to German air traffic in 2021 alone - in part\, because not all
  no-fly zones are formally defined. \n\nTo solve this\, the mFUND fAIRport
  project was started in 2020. In this project\, wetransform\, Deutsche Flu
 gsicherung and Fraunhofer work together to create a comprehensive high-pre
 cision geodatabase for no-fly zones. This is achieved by merging existing 
 datasets and with new information created through re-use of INSPIRE data\,
  through crowdsourcing and through AI-based object detection from orthoima
 ges.\n\nThe re-use of INSPIRE protected sites allows us to create cross-bo
 rder data sets with no-fly zones. For the necessary transformation and the
  merging of the individual data sets\, we used the open source ETL tool ha
 le»studio. We encode the merged data sets in a wide range of formats\, su
 ch as ED-269 JSON\, GML and GeoPackage\, and deliver them via various stan
 dardised APIs.\n\nIn this talk\, we will introduce the use case\, and the 
 created data sets. We will also explain hale»studio’s declarative mappi
 ng and model transformation workflow\, to show how it can improve the qual
 ity and usefulness of data to help solve problems at scale.
DTSTAMP:20260403T182912Z
LOCATION:General online
SUMMARY:Building Germany’s drone corridors with hale»studio - Claudia Sc
 hulte
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/NJLY8C/
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