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gef-extras - Extra goodies for GEF: Open repository for unfiltered contributions to the project.

  •    Python

Good for you! This repository is open to anyone, no filtering is done! Simply drop a PR with the command you want to share 😄 And useful scripts will eventually be integrated directly to GEF.

trends.earth - trends.earth - measure land change

  •    Python

Trends.Earth (formerly the Land Degradation Monitoring Toolbox) is a tool for monitoring land change. Trends.Earth is a QGIS plugin that supports monitoring of land change, including changes in productivity, land cover, and soil organic carbon. The tool can support monitoring land degradation for reporting to the Global Environment Facility (GEF) and United Nations Convention to Combat Desertification (UNCCD), as well as tracking progress towards achievement of Sustainable Development Goal (SDG) target 15.3, Land Degradation Neutrality (LDN). Trends.Earth was produced as an output of the GEF-funded project “Enabling the use of global data sources to assess and monitor land degradation at multiple scales”. The project aims to provide guidance on robust methods and a tool for assessing, monitoring status, and estimating trends in land degradation using remote sensing technology.




GEF - The GEF

  •    Go

The GEF software was developed in the frame of EUDAT 2020 as part of the Horizon 2020 programme of the European Union. It enables execution of containerized software tools on data stored in the EUDAT Collaborative Data Infrastructure (CDI). The GEF employs the Docker software containerization technology and uses specifically annotated Docker container images called GEF services for scientific data processing. By deploying these GEF services to Dockerized computational resources as close to the data as possible, data transfers can be minimized. GEF services can also be reused to reproduce results or toolchains. Data inputs to GEF services can be specified via PID or URL before they are automatically transferred to the processing location. Configuration of the GEF allows it to interface with Docker Server and Docker Swarm installations on various platforms. Users can interact with the GEF via a graphical interface (GUI) or an HTTP application programming interface (API). The GEF is using an SQLite database for internal data storage. The software has grown to a beta release version that is capable of processing data stored in B2SHARE and B2DROP. The GEF is still in development and the second beta release constitutes the end of development in the scope of the EUDAT 2020 project.






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