Updated on October 13, 2022 — Creative Commons Attribution 4.0
Système d'information géographique de la Grande Région.
337 datasets
1 reuses
Forest types in the Greater Region 2016
Source: INTERREG VA project Regiowood II (https://www.regiowood2.info/en)
Data sources and processing:
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 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.
Updated on February 17, 2022 — shp.zip (570.7Mo) — 1 downloads
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