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DTSTAMP:20210916T132448Z
LOCATION:Jean-Jacques Rousseau
DTSTART;TZID=Europe/Stockholm:20210705T170000
DTEND;TZID=Europe/Stockholm:20210705T173000
UID:submissions.pasc-conference.org_PASC21_sess123_msa257@linklings.com
SUMMARY:The Semantic EO Data Cube for Austria and Beyond
DESCRIPTION:Minisymposium\n\nThe Semantic EO Data Cube for Austria and Bey
 ond\n\nSudmanns, Tiede, Augustin, van der Meer, Baraldi\n\nThe semantic EO
  data cube combines an EO data cube with an AI-based inference engine by i
 ntegrating a computer-vision approach to infer new information from EO dat
 a in an explainable way. Our approach uses semantic enrichment of optical 
 EO images to obtain data-derived information, i.e., an initial interpretat
 ion, and makes them directly available and accessible for further analysis
  within the cube. The architecture is based on an expert system, in which 
 domain knowledge can be encoded in semantic models (knowledgebase) and app
 lied to the image data as well as data-derived information (factbase) usin
 g a graphical inference engine. This approach offers new and innovative fu
 nctions for semantic, content-based image search and image analysis in use
 r-defined regions and time intervals using a newly developed semantic quer
 ying language, which does not require programming skills. The world's firs
 t prototype of this approach is the Sen2Cube.at data and information cube 
 covering all of Austria, including all available Sentinel-2 images since S
 entinel-2A's launch in 2015. Thus, the prototype was successfully scaled t
 o a national data cube for Austria. This presentation will focus on the ar
 chitecture of this approach and demonstrate the transferability to other r
 egions (Syria) and sensors (AVHRR).\n\nDomain: Emerging Applications
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