Tutorials
Browse our video tutorials for guided, step-by-step instructions on how to access and make the most of the services available on the DestinE Platform.
The tutorial showcases ho to access CALIFE, how to register and login to the service, and then how to make a request for a quality of life report.
Learn how to create a story using DEA, with insights into its key features and practical tips.
Explore the main features of DeltaTwin and how it interacts with SesamEO, the catalogue providing access to Earth observation data and other dataset sources (statistics, atmospheric or climate).
This tutorial introduces DRE, this video offers a complete tutorial and clear guidelines for using the Destination Renewable Energy (DRE) service on the DestinE platform.
You’ll find step-by-step instructions and practical test case examples that show how solar developers, wind energy planners, and energy traders can use DRE to:
-Assess solar and wind energy potential
-Forecast power production and grid integration
-Plan and make informed, data-driven decisions
What’s included:
-How to log in and navigate the DRE demo
-How to enter site data, run assessments, and generate forecasts
-How to interpret results and apply them to real projects
-Example scenarios designed for educational purposes DRE brings together Earth observation data, climate services, and digital twin technology to support the clean energy transition, the Green Deal, and a sustainable future.
Instructions covered in this tutorial are meant for the entire community, supporting both new and advanced users of the service.
Project partners: National Observatory of Athens (NOA), ENORA INNOVATION, WeMET P.C., QUEST ENERGY S.A.
Learn more about DRE: https://destination-earth.eu/use-cases/destination-renewable-energy-dre/
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A practical use case demonstrating how to utilise DestinE data streaming using a Jupyter Notebook.
A demonstration of how to use DestinE Streamer to access and visualise climate and Earth observation data, also showing how to work with the data using Jupyter notebooks in the JupyterHub environment.
This tutorial introduces DT-HEAT+, a digital twin service that provides next-day predictions of heat-related mortality risk in urban areas. Developed by the National Observatory of Athens under the CARMINE project and awarded “Most Promising Proposal” by ESA’s DestinE Innovation Challenge, DT-HEAT+ combines deep learning with high-resolution Earth Observation and urban data. Now integrated into the Destination Earth platform through a partnership with ESA, ECMWF, and EUMETSAT, it supports city authorities, researchers, and emergency planners in assessing and managing heat risk. This video walks you through accessing the platform, interpreting the dashboard, and understanding how the tool supports climate resilience and public health preparedness.