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UID:pretalx-foss4g-2022-EFDUYY@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T121500
DTEND;TZID=CET:20220824T122000
DESCRIPTION:All of us involved in the creation and publication of large amo
 unts of geodata are familiar with the complexities of data management. In 
 the case of geodata created with GRASS GIS\, we asked ourselves how they c
 ould be made accessible to GeoServer without duplication. To overcome the 
 previous limitation of GRASS GIS having its own data format\, we connected
  the tribes and let Java and C/Python communicate with each other. So the 
 challenge was to be able to efficiently read the GRASS GIS database direct
 ly with GeoServer. And why is that? Because this directly links the analyt
 ical capabilities of GRASS GIS with the exceptional geo service & publishi
 ng capabilities of GeoServer.\n\nOur approach is to use the existing GDAL-
 GRASS bridge\, and add this bridge as a new extension to GeoServer. To thi
 s we add two new GRASS GIS addons (r.geoserver.style + r.geoserver.publish
 ) to easily publish the data from a GRASS GIS session as an OGC service. T
 he new GeoServer GRASS raster datastore allows to use GRASS raster data di
 rectly in a GeoServer instance. In this way it is now very easy to publish
  GRASS data as a web service via GeoServer without having to export the da
 ta from GRASS GIS to GeoTIFF or COG files. This works for both classic ras
 ter data and also for timeseries which can e.g. be inspected as a WMS Time
 .
DTSTAMP:20260404T025855Z
LOCATION:Room 4
SUMMARY:Connecting tribes: how we connected the GRASS GIS database natively
  to GeoServer - Markus Neteler\, Carmen Tawalika\, Marc Jansen\, Markus Me
 tz\, Anika Weinmann
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/EFDUYY/
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UID:pretalx-foss4g-2022-TD3HNC@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T151500
DTEND;TZID=CET:20220824T154500
DESCRIPTION:„Hello again\, my name is actinia. Still new to OSGeo and a C
 ommunity Project since 2019\, you might have heard about me already. In sh
 ort I am a REST API on top of GRASS GIS to allow location\, mapset and geo
 data management and visualization as well as execution of the many GRASS G
 IS modules and addons. Processing with other tools like GDAL and snappy is
  supported as well. I can be installed in a cloud environment\, helping to
  prepare\, analyse and provide a large amount of geoinformation. Besides t
 hese facts about me there is also a lot to tell about what happened last y
 ear! Besides vector upload\, citable DOI\, QGIS and python client implemen
 tations and more\, I can be a Spatio Temporal Asset Catalog myself with th
 e actinia-stac-plugin\, am able to use data registered in a STAC for proce
 ssing and after processing register the resulting data. With the ongoing d
 evelopment of the openeo-grassgis-driver\, you can use this new functional
 ity either in my native language or via openEO API. To learn about the det
 ails\, come on over!“
DTSTAMP:20260404T025855Z
LOCATION:Room Onice
SUMMARY:News from actinia - let's STAC! - Markus Neteler\, Carmen Tawalika\
 , Jorge Herrera\, Anika Weinmann
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/TD3HNC/
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