Contiguous high resolution OSMlanduse map of the European Union by combining Copernicus data and OpenStreetMap

Find here a new update of the map. By injecting known tags provided by OpenStreetMap (OSM) into a remote sensing feature space using deep learning, tags were predicted when absent thus creating a contiguous map – initially for the member states of the EU. By design our method can be applied when- and wherever OSM and Copernicus data is available. Now we eye application for full continental coverage, other continents, and land use evolution. Improvements related to initial processing errors will be deployed soon. Insights will be provided in an upcoming publication authored by researchers Michael Schultz, Hao Li, Zhaoyan Wu, Daniel Wiell, Michael Auer and Alexander Zipf.

Among others, in collaboration with the Joint Research Center (JRC), Ispra and International Institute for Applied Systems Analysis (IIASA) the map is subjected to a online validation campaign that is launched during the EU Regions week the validation event will be initialized on Tue 13, October 2020 ,12:30 by Michael Schultz of GIScience Research Group Heidelberg University and Ana-Maria Raimond of IGN France.

Our map is the first successful large area fusion of OSM and Copernicus at 10m spatial resolution or higher, where we acknowledged varying label noise and feature space quality, scales and effective use of artificial intelligence and computing. Our method solely relies on openly available data streams and does not depend on additional expert knowledge.

Brief method outline:

  1. OSM key value pairs (tags) were translated into Coordination of Information on the Environment (CORINE) land cover (CLC) land use (LU) classes and used as training labels
  2. Preprocessed Sentinel 2 RGB 10m data for EU was provide from Food and Agriculture Organization (FAO) and used as a feature space
  3. 1) and 2) were combined to produce a CLC classification of EU using. Known labels were injected onto the feature space by using deep learning.
land use of Europe, Heidelberg and a countryside in Utrecht

Examples of the novel GIScience OSMlanduse land use product, from left to right: land use of Europe, Heidelberg and a countryside in Utrecht

The map is developed, deployed and hosted with support from HeiGIT (Heidelberg Institute for Geoinformation Technology).

Related work:

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