Katedra Geomatiky

logo_FSv

Geo-harmonizer: EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine Learning

The overall objective of the project is to develop an original, web-based, scalable and modular system (“Geo-harmonizer”) for hosting and accessing various thematic geospatial data layers (vector and raster GIS layers) to support cross-border services over the entire continental Europe. The beneficiaries created a data portal and a software suite extending a wide variety of free and open source software solutions for geospatial data (FOSS4G) in combination with state-of-the-art Machine Learning Algorithms.

ŘEŠITEL

Ing. Martin Landa, Ph.D.

OBDOBÍ

1.9.2019 – 30.6.2022

Výstupy

Data portal

Comprehensive geodatabase

ST_LUCAS

Training and Tutorials

Eumap library and QGIS plugin

Virtual Reality

Charakteristika projektu

The Geo-harmonizer 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: using Open Data licenses; enabling wider public access to the data by not only scientists and specialists, but also non-professionals; facilitating increased use of EC-funded data without imposing any expectations on users to possess specialised or costly infrastructure; working closely with the national authorities, organizations and NGOs including the existing EC-funded systems such as DIAS, Copernicus programme and similar. The Geo-harmonizer tools and data were used 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, topographic data (DEMs), Earth observation (EO) data, hydrological and meteorological data were used. The maps were produced using automated mapping systems largely based on Machine Learning algorithms available in the open source software.