Germany GIS data
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Municipal boundaries for Mecklenburg-Vorpommern, Germany, including municipalities and areas without municipalities. Published by the Hanse- und Universitätsstadt Rostock.
Breitband und Kommunikation für das Gebiet des Landkreises ChamDieser Datensatz ist ein Toplayer (thematische Sammlung) und enthält verschiedene Sublayer (Themen) mit Geodaten zu den Bereichen Breitbandausbau uns Kommunikationsinfrastruktur im Landkreis Cham. Verfügbar sind verschiedene Daten-Formate und -Dienste, wie Shape, GeoJSON, CSV, KML oder ArcGIS REST-Web-Service. Der Landkreis Cham übernimmt keinerlei Haftung für eventuelle Mängel an Inhalt und Richtigkeit der angebotenen Daten. Aus den Inhalten können Rechtsansprüche weder begründet noch abgeleitet werden.
uav imagery by Laurens Oostwegel, acquired 2025-09-24 to 2025-09-24, 8.5 cm per pixel, published on OpenAerialMap.
ForstBW Waldeinteilung- Polygone Inhalt / Abstract: Die Anstalt öffentlichen Rechts Forst Baden-Württemberg (ForstBW) ist für die Bewirtschaftung des Staatswaldes in Baden-Württemberg zuständig. Der betreute Wald wird flächig in folgende Kategorien eingeteilt: Forstbezirke: Regionale Zuständigkeit Betriebe: Der Staatswald ist regelmäßig Betrieb 1. Es können weitere Betriebe für Waldflächen anderer Verwaltungen (Liegenschaften, Wasserwirtschaft oder Straßenbau) oder für spezielle Zwecke (Universitätswald) gebildet sein. Distrikte: sind i.d.R. zusammenhängende Waldflächen auf einer Gemarkung Abteilungen: sind die Untergliederung der Distrikte, i.d.R. etwa 20- 30 ha groß Bestände: sind die feinsten Unterteilungen der Abteilungen. Sie sind nach verschiedenen Baumbeständen und deren Waldentwicklungstypen eingeteilt. Auch „Nichtholzbodenflächen" werden erfasst. Dabei handelt es sich um Flächen, die zum Wald gehören, aber nicht selbst mit Bäumen bestockt sind, zum Beispiel Waldparkplätze, Holzlagerplätze, Wildwiesen und Waldwege. Flächen die zum Staatswald gehören, aber nicht forstlich genutzt werden, sind als „sonstige Flächen" beschrieben, beispielsweise ein auf dem gleichen Flurstück befindliches Getreidefeld. Um die Performance zu erhöhen und die Speicherkapazität zu schonen, wurden die Geodaten mit dem Tool „arcpy.cartography.SimplifyPolygon“ vereinfacht (algorithm="POINT_REMOVE", tolerance="0.2 Meters", minimum_area="0 SquareMeters", error_option="RESOLVE_ERRORS", collapsed_point_option="NO_KEEP", in_barriers=None). Beteiligte und Bearbeitungsstatus / credit + status Die Daten werden im 10-jährigen Turnus vom Fachbereich 4 Biologische Produktion und Waldnaturschutz fortgeschrieben. Der Zeitpunkt der letzten Aktualisierung ist als Stichtag angegeben. Kontakt / pointOfContact Dr. Heidi Bäuerle, Spittlerstraße 8, 70190 Stuttgart +49 7071 7543262 heidi.baeuerle@forstbw.de Räumliche Darstellungsart / spatialRepresentationType Vektordaten ReferenzsystemWGS 1984 Web Mercator (auxiliary sphere); EPSG: 3857 Ausdehnung / extend Min_X: 7,480°O Max_X: 10,520°OMin_Y: 47,500°N Max_Y: 49,820°N weiterführende Informationen bezüglich Regionale Waldentwicklungstypen und Nutzungsarten
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. Germany Province 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 Nexiga, 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Country Postcodes1 Bundeslander Postcodes2 Kreise Postcodes5 Gemeinden
Land parcels in the Hanseatic and University City of Rostock
Buildings and structures in the Hanseatic and University City of Rostock
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Germany: (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).
This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between paved and unpaved roads across the region. Surface information is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name: "Germany: **Planet** Road Surface". The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 21.4159 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 11.9981 million km (56.0243%) - Unpaved roads: 3.8254 million km (17.8622%) About 6.166 million km (28.7914%) of roads lack surface information in OSM. To reduce this gap, the Mapillary-derived surface dataset provides an additional 1.3618 million km (22.0859%) of surface information. Intended Use This dataset supports transportation planning, infrastructure assessment, climate emissions analysis, and GIS applications. AI Features - pred_class: Model-predicted surface class ("paved" or "unpaved") - pred_label: Binary label (0 = paved, 1 = unpaved) - osm_surface_class: Surface classification derived from OSM tags - combined_surface_osm_priority: Combined classification prioritizing OSM - combined_surface_DL_priority: Combined classification prioritizing DL prediction - n_of_predictions_used: Number of predictions used for estimation - predicted_length: DL-estimated length (meters) - DL_mean_timestamp: Mean timestamp of predictions OSM Attributes - name - name:en - name:* (local language) - highway - surface - smoothness - width - lanes - oneway - bridge - layer - source Urban Classification Attributes - continent - country_iso_a2 - urban (0 = rural, 1 = urban) - urban_area - osm_id - osm_type Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org
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This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR920. On 13 August 2026 at 12:55, an active wildfire is reported to have affected the Huertgen Forest in the county of Dueren, North Rhine-Westphalia, Germany. The wildfire is ongoing and spreading, with the fire covering more than 30 ha and approaching the village of Huertegenwald-Gey, which has been evacuated; firefighting operations involve more than 200 personnel and multiple helicopters, while explosions have been reported due to unexploded WWII-era munitions in the forest. On August 14, 2026, a new fire occured in High Fens Natural Reserve with geographical closeness to the border to Germany and the active wildfire in Huertgen Forest. Copernicus EMS Rapid Mapping is requested to provide initial rough estimation, fire extent delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR920 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.
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
Here you will find park and ride parking spaces in the technology region Karlsruhe. In Baden-Baden there is a real-time occupancy display.Other parking data such as car parks, free parking spaces, parking ticket parking, parking disc parking spaces and parking and carpooling are also available.
Parking garages in Karlsruhe, Rastatt, Wörth, Saverne, Haguenau, Baden-Baden, Bühl, Ettlingen, Gaggenau, Landau and Bretten with information on the number of parking spaces, lift, maximum passage height, contact data...In Baden-Baden, Ettlingen, Karlsruhe, Rastatt and Haguenau there are real-time data on the number of free parking spaces (column: free_parkplaetze). This is indicated by real-time_occupation T/F. You can also see whether the real-time status has a malfunction by the column echtzeit_status.Other parking data such as car parks, free parking spaces, parking ticket parking spaces, parking disc parking spaces and parking and ride along are also available.