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 consistent cross-border map. The accuracy of the classification is 88%.Classifications methods:
- 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 "arrondissements forestiers" 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.
Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2383&opacities=1&bgLayer=basemap_2015_global
Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/52449c23-a5dd-42b7-9c3e-3f5eba9a6ad2
This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_land_cover_WMS/guest
with layer name(s):
-Forest_types_Regiowood_2021
Producer
Latest update
April 9, 2025
License
Creative Commons Attribution 4.0
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Information
Tags
License
ID
67f5c6a5d58f6746c481a8a5
Temporality
Creation
April 9, 2025
Frequency
Unknown
Latest update
April 9, 2025
Spatial coverage
Territorial coverage granularity
Grande region