Regiowood: Forest types 2019

Updated on January 11, 2024 — Creative Commons Attribution 4.0

Informations

License
Creative Commons Attribution 4.0
ID
60d43f537d397d5c34ccb828

Temporality

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

Geographic dimensions

Territorial coverage granularity
Grande region

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Description

  • Source: INTERREG VA project Regiowood II (https://www.regiowood2.info/en)

  • 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 (https://sertit.unistra.fr)
  • Belgium: aerial image coverage from 2009, 2012 and 2016, LiDAR coverage 2014. Data processing: Gembloux Agro-Bio Tech University of Liège (https://www.gembloux.ulg.ac.be/gestion-des-ressources-forestieres)
  • 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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