On Wednesday you can learn about using Geo Engine for research data infrastructures at #CoRDI2023, demonstrating data connectors to @NFDI4BioDiv data. Original post
As part of the #CropHype project, Geo Engine now integrates the latest hyperspectral data from DLR’s #EnMap satellite. The images show dynamic layers of monthly
Retrospectively, thank you very much for the exciting presentations and the exchange at the @DLR_deEO Symposium “Neue Perspektiven der Erdbeobachtung”. This was a great opportunity
As a member of the current batch of the @Hessian_AI Incubator program we are attending the #AICon today. We are looking forward to exciting talks
Very interesting discussions at the Geospatial World Forum #GWF2023! Our talk is tomorrow in the session on New Space & Commercialization in EO. Stay tuned!
This is our booth at the #GNMG23 where Global Navigation meets Geoinformation. If you are there, come meet us! Original Tweet
Today the University of Marburg @Uni_MRreleased a news article on our CropHype project: https://www.uni-marburg.de/de/aktuelles/news/2023/satellitendaten-unterstuetzen-anbau Original Tweet
Today @cbeilschmidt held a talk on using Geo Engine for workflow-backed geo data portals at #BTW23 #BTWDRESDEN. Thanks for the great exchange in the Workshop
Geo Engine provides data lineage by incorporating the processing workflow, data provenance, and a result descriptor [1]. In the result descriptor, we can find information
In many applications where raster data is used, it is necessary to do calculations on single-pixel values. For example, one often wants to convert or
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