Geo-harmonizer: EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine Learning
Duration: September 2019 – July 2022
Total budget: 1.8M EUR
Funding source: 2018 CEF Telecom Call – Public Open Data (CEF-TC-2018-5)
General programme: Connecting Europe Facility 2014–2020
The GeoHarmonizer project aims at reducing problems of national data with using seamless complex (geographical) data over the entire extent of the EU, and “opening data” through:
We use the Geo-harmonizer tools and data to generate decision-ready layers such air quality and pollution, potential natural vegetation, potential for producing energy from solar insolation, wind energy and similar. To calculate these value-added decision-ready maps, we use topographic data (DEMs), Earth observation (EO) data, hydrological and meteorological data that we map using automated mapping systems largely based on Machine Learning algorithms available in the Open Source software.
The Copernicus land data products and similar data products funded by European Commission play a central role in the reference data framework that determines the quality and traceability of all Copernicus products and services. But many of these layers suffer from limited reproducibility and completeness. By building and implementing Geo-harmonizer we will contribute to the Copernicus product in producing new added-value products. For example, we will test automated mapping methods for producing annual land cover maps at 30 m resolution for the complete period 2000–2020, the “OpenStreetMap+” (improved EU version of the OpenStreetMap) and a number of other value-added layers. Such products can then be directly used both for national and regional projects across Europe.
The Digital Service Infrastructure we intend to develop and release to the public will connect state-of-the-art remote sensing data sources (Sentinel, Landsat, TanDEM-X and similar), machine learning frameworks, cloud and High Performance Computing. We expect that it will also result in significant reduction of processing and delivery time. We further believe that automation of the harmonization of layers will also decrease the costs of generation of value added data important for energy, climate, protection of the environment and sustainable use of natural resources. By implementing GeoHarmonizer, we hope to demonstrate the power of the Copernicus programme in combination with Open data projects such as OpenStreetMap and Open Source software projects.
Geo-Harmonizer aims at partnering with multiple similar international and national projects:
Come and meet some of the leading EU scientists and developers in the area of Open Source software and Open Data. This event is sponsored by the OpenGeoHub foundation: no participation fees will be charged! To submit an abstract use: https://opendatascience.eu
We have mapped land cover classes for the 2000-2019 period for continental Europe at 30-m resolution using spatiotemporal ML. Explore the dynamic EU landscapes on your palm using the ODS-Europe viewer: https://maps.opendatascience.eu
Read more in: https://opengeohub.medium.com/europe-from-above-space-time-machine-learning-reveals-our-changing-environment-1b05cb7be520 @inea_eu
Happy 15th Birthday @OSGeo!
We enjoyed the 2018 #OSGeo community sprints in Bonn with our #GRASSGIS team and friends! #15YearsOSGeo #FOSS4G
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