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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:
Initiative2create new #harmonised datasets4continental Europe w/t #foss4g & #MachineLearning @opengeohub @MundialisInfo @TERRASIGNA @DMultione @CVUTPraha
📢 Paper out! Mapping all the things all the time: We mapped 43 #LULC classes at once with #MachineLearning, using @corine, #LUCAS and @UMD_GLAD #landsat data.
Check it at https://peerj.com/articles/13573
and the maps on http://ecodatacube.eu
#opendata #openscience #remotesensing
We have added the 10m spatial resolution seamless mosaics for EU for period 2017--2021 to enhance @HarmonizerGeo use cases and support environmental monitoring projects; powered by @DMultione. Visit https://stac.ecodatacube.eu to import data into your projects #OpenData @EU_HaDEA
The second ODSE conference day just starts (streamed online):
Keynotes and talks about #visualization, #VR, #opensource, #bigdata, #forest, #humanitarian, #HaDea, #airpollution, #radonhazard and more... Please tune in!
@OSGeo @HarmonizerGeo #geodata
+ 31 721 1062
Mon - Fri 9.00 - 17.00
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