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UID:pretalx-foss4g-2022-33NJYP@talks.staging.osgeo.org
DTSTART;TZID=CET:20220826T123000
DTEND;TZID=CET:20220826T130000
DESCRIPTION:Geo Engine is a cloud-ready geospatial analysis platform that p
 rovides intuitive and low-threshold access to geospatial data\, its proces
 sing\, interfaces\, and visualization. Users can access the engine in a br
 owser-based user interface as well as with Jupyter notebooks in Python. An
  important element is the homogenized "Datacube"-like view of heterogeneou
 s data\, which allows research groups and companies easy access and low-th
 reshold analyses. At the same time\, it is a framework for the creation an
 d operation of geodata portals.\n\nThe development is based on research re
 sults from the field of spatio-temporal data processing from the database 
 systems group at the University of Marburg\, Germany. It is currently used
  in scientific projects focused on environmental and biodiversity monitori
 ng\, where it provides native time series processing\, the combination of 
 raster and vector data\, and a user interface that enables linked views be
 tween maps\, tables\, and plots. In addition\, it is used for the provisio
 n of customized apps\, for example for web-based remote-sensing learning a
 nd project portals.\n\nThe presentation gives an overview of the system an
 d its features. The processing backend will be discussed\, which allows ti
 le-based (for raster data) or chunk-based (for vector data) processing\, t
 aking into account the time semantics of the data. In addition\, we show a
  use case demonstration where we exemplify the seamless transition from Ge
 o Engine’s UI to Python notebooks and also the step back. Finally\, we g
 ive an overview of future development goals.
DTSTAMP:20260411T120305Z
LOCATION:General online
SUMMARY:Geo Engine: Exploratory data analysis with spatio-temporal workflow
  processing - Dr. Christian Beilschmidt
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/33NJYP/
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