Projects

NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives.

The RELIANCE project has ended on June 2023. Research Lifecycle Management technologies for Earth Science Communities and Copernicus users in EOSC.

The TSAR project has ended on March 2023. Artificial Intelligence (AI) for the automatic detection of FDIA in transport infrastructures.

The lack of accurate modelling of fish movement, migration strategies, and site fidelity is a major challenge for policy-makers when they need to formulate effective conservation policies. By relying on the Pangeo infrastructure on the Destination Earth Service Platform (DESP), the Use Case aims to predict the sea bass behavior and develop a Decision Support Tool (DST) for “what-if” scenario planning. As a result, the Use Case will help to obtain accurate insights into fish populations by introducing the Global Fish Tracking System (GFTS) and a Decision Support Tool into the DESP.

The EOSC-Nordic project has ended on 30 November 2022. EOSC-Nordic aimed at facilitating the coordination of EOSC relevant initiatives within the Nordic and Baltic countries.

MAchine learning, Surface mass balance of glaciers, Snow cover, In-situ data, Volume change, Earth observation (MASSIVE).

JupyterGIS is a JupyterLab extension for collaborative GIS (Geographical Information System). It is designed to allow multiple people to work on the same geospatial project simultaneously, facilitating discussion and collaboration around map layers, spatial analyses, and other GIS data being developed. JupyterGIS provides basic support for QGIS project files, allowing users to import and export projects seamlessly between QGIS and JupyterLab. This compatibility preserves layer styles, data sources, and project settings, enabling smooth transitions between GIS work in QGIS and collaborative, cloud-based work in JupyterLab.