Hello all
There is two events coming soon. Registration is free for both of them.
The first event is the Open Geospatial Consortium (OGC) Testbed 19
Demonstration Days. This is a two-day virtual event next week,
presenting the outcomes of researches conducted by OGC participants in
the last 8 months. The topics are:
* *Geospatial in Space:* explore the use of existing standards for
other planets and deep space.
* *Machine Learning:* interoperable/transferable ML Models for Earth
Observation applications.
* *Geodatacubes:* demonstration of the newly developed API and
metadata model.
* *Analysis Ready Data:* improving the backend standardization for
making ARD easier to use.
* *Agile Reference Architecture:* how Resilient Data Services in the
generation after next will operate.
* *High Performance Computing:* latest High-Performance Geospatial
Computing Standards for geospatial analytics.
Apache SIS is involved in the first topic (geospatial in space) as the
prototype used for encoding a GeoTIFF image in space, and for testing
coordinate transformations between objects in space. For information are
registration, see:
https://www.ogc.org/ogc-events/testbed-19-demonstration-and-outreach/
The second event is the OGC/ASF/OSGeo joint code sprint. This event
occurred in 2021, 2022, 2023 and this year also, in 6 weeks (February,
26-28). The location will be Universidade de Évora, Portugal. All open
source projects are welcome to come. This is an opportunity to do a
quick presentation or tutorial of your project, and work with others on
topics such as integration or interoperability between projects, or
advancing OGC standards. More information are there:
https://developer.ogc.org/sprints/23/
The list of participating projects has not yet been established, but
will be there:
https://github.com/opengeospatial/developer-events/wiki/2024-Joint-OGC-%E2%80%93-OSGeo-%E2%80%93-ASF-Code-Sprint#which-ogc-standards-working-groups-are-going-to-participate
If you would like to add your project, please let us know on this
mailing list, or edit directly the above GitHub wiki page.
Martin
