Regiowood: Forest types 2019

— 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 (https://www.fernerkundung.uni-trier.de/) — 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 consist of 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.