This layer contains the regulations contained in the land use plan of the municipality of Lintgen. The information in this geoportal layer has no legal value and must be considered as mere indications related to the original document. The original plan can be viewed in the local administration.

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.

Land use in the Greater Region according to Corine Land Cover 2006 - Source: EEA - Corine Land Cover 2006 European seamless vector database: version 15 (08/2011)

This layer contains the orthophoto covering the territory of the Préizerdaul municipality, that have been made in 2012 for the municipality administration.

Forest types in the Greater Region 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 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.

This layer contains the regulations contained in the land use plan of the Préizerdaul municipality. The information in this geoportal layer have no legal value and must be considered as mere indications related to the original document. The original plan can be viewed in the Préizerdaul administration.

Aerial images which have been used for the photogrammetric restitution of the 1954 topographic map. These images are not georeferenced nor orthorectified. The data in the 1:25000 scale covers entire country.

Aerial images which have been used for the photogrammetric restitution of the 1964 topographic map. These images are not georeferenced nor orthorectified. The data in the 1:20000 scale covers the entire country.

- Change in soil sealing 2(imperviousness) 2009-2015 - Territorial entities: cantons (LOR and LUX), Kreise (RLP and SL), arrondissements (WAL) - Thematic data sources: Imperviousness Density (IMD)2009 & 2015, European Environment Agency. Calculations: LISER 2018 - Geodata sources: © GeoBasis-DE / BKG 2017; IGN France 2017; NGI-Belgium 2017; ACT Luxembourg 2017. Harmonization: SIG-GR / GIS-GR 2018

Aerial images which have been used for the photogrammetric restitution of the topographic maps. These images are not georeferenced nor orthorectified. The data in the 1:30000 scale covers the entire country.