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Open Data Science | GeoHarmonizer project

  • Policy and decision making based on open data.
    Models and predictions based on Open Source Software.
  • Spatial analysis using FOSS4G
    Boost your data science skills by joining some of our training courses
    including the online materials / coding tutorials.
  • Earth Observation Data
    We use open EO data such as Sentinel imagery from the Copernicus Programme
    in combination with cutting-edge Open Source Machine Learning to improve environmental layers in Europe.

Popular data sets

Browse popular data sets produced within the project (under construction).


Events and workshops connected to the GeoHarmonizer project.

Our infrastructures

We use a variety of free and open source software solutions for geospatial data (FOSS4G) in combination with state-of-the-art Machine Learning Algorithms as implemented in the R and Python programming environments. We run processing within EU-supported High Performance Computing (HPC) / and similar Cloud computing infrastructures.

We base harmonization of geographic data (EU scale) on using the EO Sentinel 1/2 and Landsat 6/7/8 layers at 10, 30 and 60 m: cloud-free mosaics (2000–2020) produced via the DIAS infrastructure.

We combine multiscource data — administrative layers, expert-based land cover maps, forest altases and maps, various type of legacy data — with huge volumes of time-series remote sensing images to produce statistical unbiased predictions of target variables and estimate realistic measures of uncertainty.

We develop tools for automated harmonization/conversion of variables including automated upscaling, downscaling, resolving of edge-problems and cross-border problems, imputing of missing values etc. 

Latest post

Latest post, data sets, discussion panels and discussion points.

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Course List Page

Geo-harmonizer tutorials admin Wed, 03/29/2017 - 09:47

Geo-harmonizer project (EU-wide automated mapping syst

30 hours of high quality eLearning content
EU case studies
Programming using R, GDAL, Python
Geospatial technologies
Landsat, Sentinel and similar Earth Observation data
Course Level
1 month
Course Category

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