2024
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- Cross-border commuters to Luxembourg at place of residence in 2023 - Territorial entities: Kreise, arrondissements - Commuting data sources: IGSS. Calculations: OIE/IBA 2024 - Geodata sources: GeoBasis-DE / BKG, IGN France, NGI-Belgium. Harmonization: SIG-GR / GIS-GR 2024
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- Cross-border commuters from France to Rhineland-Palatinate at place of work (Kreise): 2013-2023 - Territorial entities: Kreise - Commuting data sources: Bundesagentur für Arbeit. Calculations: OIE/IBA 2024 - Geodata sources: GeoBasis-DE / BKG. Harmonization: SIG-GR / GIS-GR 2024
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- Cross-border commuters from Rhineland-Palatinate to Luxembourg at place of residence (Kreise): 2013-2023 - Territorial entities: Kreise - Commuting data sources: IGSS 2024. Calculations: OIE/IBA 2024 - Geodata sources: GeoBasis-DE / BKG. Harmonization: SIG-GR / GIS-GR 2024
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- Cross-border commuters from Wallonia to Luxembourg at place of residence (Arrondissements): 2013-2023 - Territorial entities: Arrondissements - Commuting data sources: INAMI. Calculations: OIE/IBA 2024 - Geodata sources: NGI-Belgium. Harmonization: SIG-GR / GIS-GR 2024
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Starred restaurants of the Guide Michelin 2024 - Source: Guide Michelin 2024
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Zones AGE national warning system LU-Alert
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- Cross-border commuters from France to Saarland at place of work (Kreise): 2013-2023 - Territorial entities: Landkreise - Commuting data sources: Bundesagentur für Arbeit. Calculations: OIE/IBA 2024 - Geodata sources: GeoBasis-DE / BKG. Harmonization: SIG-GR / GIS-GR 2024
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- Cross-border commuters from the German-speaking community of Belgium to Luxembourg at place of residence (municipalities): 2013-2023 - Territorial entities: municipalities - Commuting data sources: IGSS. Calculations: OIE/IBA 2024 - Geodata sources: NGI-Belgium. Harmonization: SIG-GR / GIS-GR 2024
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This layer shows the NDVI calculated using the spectral information from a hyperspectral camera (Headwall – Nano) recorded with a drone over the vineyard on September 8, 2020. NDVI (= Normalized Difference Vegetation Index) belongs to the vegetation indices, which can map the vitality of plants by using spectral information in the red and near-infrared. It has a defined value range and can be easily interpreted as healthy vegetation has values from 0.6 to 1 maximum.
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Field assessment / rating of the vines at the IVV 2023, classes 0 = healthy, 1 = apoplexy, 2A = mild ESCA symptoms, 2B = moderate ESCA symptoms, 2C = severe ESCA symptoms, X = missing vine