Regiowood: Forest types 2021
Description
Forest types in the Greater Region 2021 (Lorraine: 2020)
— Source: Interreg VA project Regiowood II (https://www.regiowood2.info/en)
— Data: Sentinel-2 from summer 2020 (Grand-Est), spring 2021 (Rhineland-Palatinate, Saarland, Luxembourg) and early summer 2021 (Wallonia).
Although the classification is based on different methodologies in different regions, the final result is a consist cross-border map. The accuracy of the classification is 88 %.
— Method classifications:
— France: SPOT4-5 images acquired in 2005 from the vegetation layer of the BD Topo (IGN). 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)
— Rhineland-Palatinate and Saarland: use of cadastral data (ATKIS). Data processing: Umweltfernerkundung & GeoInformatik University of Trier (https://www.uni-trier.de/universitaet/fachbereiche-faecher/fachbereich-vi/faecher/erdbeobachtung-und-klimaprozesse/umweltfernerkundung-und-geoinformatik)
— Luxembourg: use of the dataset “forest districts” from ANF. Data processing: Umweltfernerkundung & GeoInformatik University of Trier (https://www.uni-trier.de/universitaet/fachbereiche-faecher/fachbereich-vi/faecher/erdbeobachtung-und-klimaprozesse/umweltfernerkundung-und-geoinformatik)
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.
Resources
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https://download.data.public.lu/resources/regiowood-forest-types-2021/20231220-143444/regiowood-forest-types-2021-2383-forest-types-regiowood-2021-far-1.shp.zip |