Regiowood: Forest types 2019

Updated on January 11, 2024 — Creative Commons Attribution 4.0


Creative Commons Attribution 4.0


Creation date
June 24, 2021
Latest resource update
October 3, 2022

Geographic dimensions

Territorial coverage granularity
Grande region




  • Source: INTERREG VA project Regiowood II (

  • Data sources and processing:

  • France/Lorraine: SPOT4-5 images acquired in 2005, RapidEye images acquired in 2010 and 2011. Data processing: ICube-SERTIT University of Strasbourg (
  • Belgium: aerial image coverage from 2009, 2012 and 2016, LiDAR coverage 2014. Data processing: Gembloux Agro-Bio Tech University of Liège (
  • Germany and Luxembourg: cadastral data, Landsat 8 from 2014. Data processing: Umweltfernerkundung & Geoinformatik University of Trier

  • Data for the entire Greater Region from 2016: Sentinel-2 A/B.

Although the classification is based on different methodologies in different regions, the final result is a consistent cross-border map. The accuracy of the classification is 88%.

Please note that the date of the "Aerial Imagery" background map data may differ from the Regiowood data depending on the sub-entity of the Greater Region.

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