Denmark GIS data

Datasættet repræsenterer skyggeeffekten af den danske højdemodel fra 2007 (DK-DHM/Terræn 2007). DHM/terræn er en digital model af terrænets højde sammenlignet med det gennemsnitlige havniveau, dvs. terrænets kote (DVR90). Modellen er gemt i et gitter (raster) med en cellestørrelse, der oprindeligt var 0,4 m, men som for dette datasæt er nedskaleret til 10 m. Datagrundlaget for modellen er baseret på laserscanninger fra fly (Lidar) indsamlet i perioden 2005-2007, og som har gennemgået omfattende beregninger og kvalitetssikringsprocedurer. Kortkartografi og styling udarbejdet af Christian Brogaard Pedersen (cbp@geus.dk). Copyright: Styrelsen for Dataforsyning og Infrastruktur (SDFI). The data set represents the shadowing of the Danish altitude model from 2007 (DK-DHM/Terrain 2007). DHM/terrain is a digital model of the height of the terrain compared to the average sea level, i.e.. the elevation of the terrain (DVR90). The model is stored in a grid (raster) with a cell size originally 0.4 m, but which for this data set is down -sampled to 10 m. The data base for the model is based on laser scans from aircraft (Lidar) collected in the period 2005 - 2007 and which has undergone extensive calculations and quality assurance procedures. Map cartography and styling compiled by Christian Brogaard Pedersen (cbp@geus.dk). Copyright: The Danish Agency for Data Supply and Infrastructure (SDFI).

Det sammenhængende højde- og dybdekort blev udarbejdet omkring 1997, hvor de danske områder blev opdateret i 2005-2006. Det er opbygget af 5 m kurver og er også tilgængeligt som polygoner.  Kortet er kontinuerligt på tværs af grænsen mellem land og hav. Kortet har et polygonlag med datakilder, der viser, hvor dataene for de forskellige områder kommer fra, og hvilken skala de er lavet i.  Kortet er lavet til visning i en skala på 1:500.000. Højde- og dybdekortet er opbygget af to forskellige datasæt: Højdemodel (gitter) med højdekurver (form). Højdemodellen er et 40 cm gitter fra 2014-2015, lavet som en mosaik i 2015. Batymetrimodel (gitter) med dybdekurver (form). Dybdekurverne er med 5 m intervaller fra 2006, som det overordnede kort er lavet ud fra, og som også er tilgængelige som polygoner. Batymetridata blev downloadet fra EMODNET i 2016 og er i øjeblikket det bedste dybdegitter. De danske data kommer fra GST. Gitteret er oprindeligt i længdegrad/breddegrad, men er blevet reprojekteret til ETRS 1989 / UTM zone 32. Den oprindelige cellestørrelse er 0,002 grader, dvs. ca. 126 m bredt og 230 m højt. Det reprojekterede gitter er lavet i 125 m celler ved hjælp af en bilineær interpolation. Farvandsväsnets havdybder over det danske område fra 2005 er også tilgængelige som et 100 m gitter på geocenterserveren. Bemærk venligst, at dette gitter er blevet flyttet ca. 120 m mod nordøst.

geoBoundaries ADM2 boundaries for Denmark: 98 units, representing 2018. Source: geoBoundaries, Wikimedia Commons.

geoBoundaries ADM0 boundaries for Denmark: 1 units, representing 2021. Source: geoBoundaries, Web Vectors Map.

geoBoundaries ADM1 boundaries for Denmark: 5 units, representing 2021. Source: geoBoundaries, Web Vectors Map.

Kortet viser drikkevandets hårdhed i forsyningsområderne for almene vandværker i Danmark. Rådata om drikkevandskvalitet er udtrukket fra den nationale boringsdatabase (Jupiter) den 6. september 2023 og er efterfølgende kvalitetssikret. Hårdheden er beregnet efter semiautomatisk fjernelse af outliers, baseret på calcium (Ca) og magnesium (Mg) koncentrationer, eller, hvis disse data ikke har været tilgængelige, ved anvendelse af den samlede hårdhed rapporteret til Jupiter. Data er derefter aggregeret på vandværksniveau som årligt gennemsnit og på forsyningsområdeniveau som vægtet gennemsnit. Vægten for denne beregning er baseret på vandværkernes årlige produktionsvolumener. Polygonerne for forsyningsområderne stammer fra Schullehner (2022, https://doi.org/10.34194/geusb.v49.8319). Alle metodemæssige detaljer og begrænsninger er beskrevet i en fagfællebedømt artikel, som er publiceret i GEUS Bulletin (https://doi.org/10.34194/geusb.v57.8374). Drikkevandets hårdhed kan variere lokalt og over tid. Dette datasæt (og det tilhørende kort) har til formål at give et overblik på regionalt eller nationalt niveau. Selvom den anvendte metode i øjeblikket er den bedste til at skabe sådanne overblik, anbefales det på grund af metodens begrænsninger at kontakte det lokale vandforsyningsselskab for aktuelle oplysninger om vandets hårdhed for en specifik forbruger eller lokation. GEUS kan under ingen omstændigheder stilles til ansvar for skader eller tab af nogen art – hvad enten der er tale om direkte, indirekte og hændelige skader eller følgeskader – der opstår som følge af handlinger i forbindelse med, at der opnås adgang til eller benyttes hårdhedsdatasættene. Det anbefales, at brugere indhenter yderligere information fra de relevante forsyningsselskaber, før der træffes beslutninger i relation til vandets hårdhed. Anbefalet reference: Open access nationwide data sets for drinking water hardness at public waterworks and their water supply areas in Denmark: in the GEUS Bulletin, Voutchkova et al. 2024: GEUS Bulletin 57. 8374. https://doi.org/10.34194/geusb.v57.8374

uav imagery by Ebbe Valbak, acquired 2026-07-30 to 2026-08-04, 5.0 cm per pixel, published on OpenAerialMap.

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Denmark: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: tourism, amenity, historic, heritage - Part of the country exports on HDX by HOT

Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

Topographic maps of Denmark describe the terrain with landscape forms, land use, buildings and roads, and provide an overview of the landscape and the various geographical elements of an area. The 1:250,000 card is suitable as a tourist card as well as a background card for other presentations. The card is also suitable for printing.

Denmark's Height Model - Terrain (DHM/Terrain) is a digital model that describes the height of the terrain in relation to the average sea level. Objects that are located above ground, including trees, houses, cars, and more have been removed. DHM/Terrain and shadow maps are suitable for planning, design and landscape analysis. Data is part of Denmark's Height Model (DHM).

This dataset represents a nationwide digital geological map of superficial deposits in Denmark at a scale of 1:200.000. The map shows the classification and distribution of near-surface deposits, primarily glacial and post-glacial sediments. The dataset is based on the Digital Soil and Sediment Map of Denmark at 1:25.000 in areas where detailed mapping is available. In other areas, the distribution of deposits has been interpreted based on borehole data, landscape analysis and other available geological information. The deposits are classified into 12 generalised types, making the dataset a simplified and generalised version of the detailed 1:25.000 map. The dataset provides a national overview of superficial deposits and serves as a reference for regional and national applications. Official metadata Purpose The purpose of the dataset is to provide a consistent, nationwide digital map of superficial deposits in Denmark. The map is used as a basis for geological interpretation, environmental management, land-use planning, resource assessment, as well as education and research. Supplemental Information The dataset is an interpretation-based national map product and is not subject to continuous updates. It represents a generalised overview of the distribution of superficial deposits at the ground surface and should be used in conjunction with more detailed maps and local data where higher spatial resolution or detailed stratigraphic information is required. Lineage The dataset was compiled by the Geological Survey of Denmark and Greenland (GEUS) and represents version 2 of the digital superficial deposits map at a scale of 1:200.000. The map is based on the compilation and harmonisation of existing geological maps, borehole data, geomorphological analyses and previous Quaternary geological investigations. Version 2 includes updates and improvements compared to earlier versions, including revised deposit boundaries and classifications based on new knowledge and quality assurance. During compilation of the dataset, generalisation and adjustments have been applied in certain areas, resulting in a spatial uncertainty of up to approximately 200 m, locally slightly more. The dataset is designed as an overview map at a scale of 1:200.000 and is suitable for educational purposes, regional-scale analyses and as background information for other thematic maps. The dataset is not subject to continuous updates and was published in GEUS Report 2011/19. Mapping of superficial deposits in Denmark has been a core task of the Danish geological surveys since the establishment of the Geological Survey of Denmark (DGU) in 1888. The digital superficial deposits map at a scale of 1:200.000, version 2, builds on this long mapping tradition but represents a modern digital compilation and interpretation based on more recent data and methods.

Kalibreringsdata fra DKmodel2019. DKmodel2019 opsætning og kalibrering er beskrevet i GEUS rapporterne 2019/31 (https://doi.org/10.22008/gpub/32631). Maria OndracekAkademisk medarbejder, Civilingeniør  E-mail: mon@geus.dkPhone (+45)  9133 3607 Hydrologisk afdelingDe Nationale Geologiske Undersøgelser for Danmark og Grønland (GEUS)Øster Voldgade 10, DK-1350 Copenhagen Khttps://www.geus.dkE-mail: geus@geus.dk Telefon: 38 14 20 00

Denmark's Height Model - Surface (DHM/Surface) is a digital model of the physical surface that describes the height of buildings and vegetation above sea level. DHM/Surface and shadow maps are suitable for visualization and analysis of sight lines. Data is part of Denmark's Height Model (DHM).

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Denmark Postcodes1 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Geodatastyrelsen 2016, updated to vintage 2023 by Michael Bauer Research Gmbh with data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark''s Administrative Geographical Divisions, March 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Country Regioner Landsdeler Postcodes2 Kommuner Postcodes4

Topographic maps of Denmark describe the terrain with landscape forms, land use, buildings and roads, and provide an overview of the landscape and the various geographical elements of an area. The map 1:1.000.000 shows the main cities, roads, railways, airports and ferry routes.

The screen card is a multi-scalable card designed to display relevant data at different zoom levels on a screen. The card is typically used as a background card for other data in various web applications both in the public and private sectors.

Topographic maps of Denmark describe the terrain with landscape forms, land use, buildings and roads, and provide an overview of the landscape and the various geographical elements of an area. The 1:500,000 map provides an overview of the entire country without showing details.

Europe - Height model Terrain is a digital height model over Europe. The height model includes definitions of terrain heights, and is part of Open Maps for Europe, which offers free map solutions from more than 40 European countries.

Dette datasæt udstiller tykkelseskort over Holocæne og senglaciale aflejringer i danske havområder. Kortene er udarbejdet af GEUS i samarbejde med NIRAS og Miljøstyrelsen som led i Energistyrelsens geologiske screening for storskala havvind. Formålet med datasættet er at give et detaljeret geologisk grundlag, der kan understøtte planlægningen af havvindprojekter i Danmark. De udstillede kort viser variationer i aflejringernes tykkelse og udgør en central reference i NIRAS’ følsomhedsstudie, som vurderer havområders egnethed til etablering af vindenergi. Datasættet præsenteres gennem en dedikeret GEUS-webportal og indgår som et officielt GEUS-produkt. Portalen fungerer både som udstillingsvindue for de endelige geologiske data og som et fagligt referencepunkt i forbindelse med NIRAS’ digitale rapportering.

Topographic maps of Denmark describe the terrain with landscape forms, land use, buildings and roads, and provide an overview of the landscape and the various geographical elements of an area. The card in 1:25,000 is suitable for oriented and can be used for e.g. planning, nature management and teaching. The card is also suitable for printing.