cl_maintenanceAndUpdateFrequency

asNeeded

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  • Cette donnée à pour objectif de donner des informations sur la date de la prise de vue de l'orthophotographie du département, la date de la future prise de vue, s'il y a présence de la donnée infra-rouge ainsi que du MNS.

  • Students of higher education 2012 in the Greater region per city (universities and colleges) - Sources: Eureka 2009; GR-Atlas 2011; Working party "Tertiary education and research" of the Greater Region

  • National park Hunsrück-Hochwald in 2022: Nature zone 1b (transition areas) - Data source: Naturschutzverwaltung Rheinland-Pfalz. Adaptation: SIG-GR / GIS-GR 2022

  • - Livestock units of cattle and pigs per ha of agricultural area - Territorial entity: Lorraine: canton (2010), Luxembourg: canton (2015), Rhineland-Palatinate: Landkreise and kreisfreie Städte (2010), Saarland: Landkreise (2016), Wallonia: municipality (2015) - Sources: DRAAF Grand Est 2017; ASTA Luxembourg 2017; Statistisches Landesamt Rheinland-Pfalz 2017; Statistisches Amt Saarland 2017, Direction générale statistique 2017; Groupe de travail "Agriculture et forêt" de la Grande Région. Harmonization: SIG-GR / GIS-GR 2018

  • 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.

  • Quality of the intraregional rail connections (2017) based on the linear distance speed of the fastest connection between the major centres of the Greater Region - Sources: FAU, Deutsche Bahn 2017

  • National park Hunsrück-Hochwald in 2022: Buffer zone 2 - Data source: Naturschutzverwaltung Rheinland-Pfalz. Adaptation: SIG-GR / GIS-GR 2022

  • This data describes the local cross-border connections served by buses.

  • This data describes bus stops on long-distance cross-border routes.

  • Presence of Euplagia quadripunctaria in Luxembourg and Saarland - Illustration as grid cells 10x10km - Data sources: MNHN Luxembourg, Ministerium für Umwelt und Verbraucherschutz Saarland