In the new “PFG Journal of Photogrammetry, Remote Sensing and Geoinformation Science,“ colleagues from FAIRagro and FAIRagro co-applicant Julius Kühn Institute (JKI) describe in their article ”Big Geodata and Spatial Data Infrastructures: a Perspective of a German Authority” how the JKI Data Cube contributes to the research data infrastructure in Germany through FAIRagro—a practical example of the implementation of our goals to make agricultural research data FAIR.
What exactly does this involve?
- Integration of the JKI data cube into the CODE-DE cloud platform for seamless data processing
- Demonstration of a workflow that combines phenological, satellite, and weather data across different scales
- Open access to PHASE phenology data and German weather data via standardized web services
- A practical example of code for use by the community
Technical highlights:
- Successful integration of more than 50 TB of satellite images without local storage requirements
- On-demand analysis combining data from plots to Germany-wide scales
- Standard-compliant web services that enable interoperable data access
- Comprehensive documentation to support reproducible research
Impact on the community:
The presented use case illustrates how a modern data infrastructure can support evidence-based agricultural research, from monitoring individual fields to assessing biodiversity at the national level. All code and documentation are open access.
Interested? Here are the resources:
Full publication: https://doi.org/10.1007/s41064-025-00351-0
Code repository: https://zenodo.org/records/14215012
FAIR Code Documentation (Guidelines): https://zenodo.org/records/14772749