ioerDATA2026 · dataset · unknown
Cross-Border Urban Form ModelThis dataset delivers a cross-border urban form model incorporating the computation of urban metrics to describe and further analyse urban form on various levels. It has been developed as a basis for the analysis of anticipated outcomes of land policies in built urban form (Kleiner and Jehling 2026), but can also be used for other purposes. The model bridges the challenge of making urban form quan
ioerDATA2026 · dataset · unknown
Replication package for: Localized assessment of urban forest structures with 3D indicatorsEN: The dataset includes all data and source code required to reproduce the analysis presented in the study Localized assessment of urban forest structures with 3D indicators, published in Ecological Indicators (2026). Pre-processed GeoPackages (.gpkg) for Amsterdam and Berlin contain canopy-height and building-height values on a 100 m grid. These values were derived from publicly available canopy
ioerDATA2026 · dataset · unknown
Replication Package for: Citywide Assessment of Urban Tree Shading on Roof and Facade Solar Radiation Using Semantic 3D City ModelsThis dataset contains all data and source code required to reproduce the analysis presented in the study Citywide Assessment of Urban Tree Shading on Roof and Facade Solar Radiation Using Semantic 3D City Models (DOI: 10.5194/isprs-annals-XII-4-W1-2026-243-2026), published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2026). The analysis builds on the 3D S
ioerDATA2026 · dataset · unknown
Georeferenced Addresses in Flood-Prone Areas by District in Germany, 2025The dataset summarizes the number of authoritative georeferenced address data within each district or district-free city in Germany that is located within flood risk zones and flood hazard areas. Georeferenced address data is used as provided by the Federal Agency of Cartography and Geodesy (Bundesamt für Kartographie und Geodäsie) and has been combined with flood risk zones and flood hazard areas
ioerDATA2026 · dataset · unknown
3D Building Metrics Germany 2024EN: The dataset 3D Building Metrics Germany 2024 provides building footprints for Germany, enriched with geometric properties and structural metrics. It is derived from the official 3D building models for Germany in Level of Detail 2 (LoD2) created by the Surveying Authorities of the Laender of the Federal Republic of Germany and represents data for the year 2024. In addition to buildings, the mod
ioerDATA2026 · dataset · unknown
Harmonized Tree Cadastre Dataset for Germany from 2024 using the BaumCloudThe dataset "Harmonized tree cadastre dataset for Germany from 2024 using the BaumCloud" is an edited data extract from BaumCloud, a user-friendly and open access web infrastructure that harmonizes tree cadastre datasets across Germany. It consists of datasets from 20 cities/regions namely Am Gartz (Oder), Berlin, Bonn, Chemnitz, Dresden, Dortmund, Frankfurt am Main, Gelsenkirchen, Halle (Saale),
ioerDATA2026 · dataset · unknown
Replication package for: Urban green areas for the nearby recreationEN: This dataset presents national indicators of Urban green areas for the nearby recreation across 666 German cities with more than 20,000 inhabitants. It quantifies the area and partly also the distance of urban green spaces and the proportion of the population benefiting from these services using geospatial methods. DE: Dieser Datensatz enthält nationale Indikatoren zu städtischen Grünflächen f
ioerDATA2025 · dataset · unknown
Replication package for: Urban Public Transit Frequency Indicator in GermanyEN: This dataset provides local public transit frequency indicator for all German cities with populations exceeding 50,000. The spatial resolution is based on 1 km grid cells. Open-source public transit feed data (GTFS) served as input for an advanced geoprocessing workflow. A spatio-temporal filtering approach was applied to model GTFS data on a weekly basis—averaging values for weekdays, Saturda
ioerDATA2025 · dataset · unknown
Replication package for: Digital Landscape Traces - Locals and Tourists in Germany MapEN: This dataset serves as a replication package for the publication "Digitale Spuren in der Landschaft: Ein neuer Blick Naturräume durch Soziale Medien" in Natur und Landschaft in Karten. It provides the necessary data and code to reproduce the main visualization, which maps over 66 million georeferenced social media posts across Germany. The key feature of this dataset is the classification of e
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2022EN: The dataset describes the land use structure in Germany in 2022 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2000EN: The dataset describes the land use structure in Germany in 2000 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2024EN: The dataset describes the land use structure in Germany in 2024 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2020EN: The dataset describes the land use structure in Germany in 2020 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2013EN: The dataset describes the land use structure in Germany in 2013 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2008EN: The dataset describes the land use structure in Germany in 2008 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2021EN: The dataset describes the land use structure in Germany in 2021 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2010EN: The dataset describes the land use structure in Germany in 2010 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2014EN: The dataset describes the land use structure in Germany in 2014 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2017EN: The dataset describes the land use structure in Germany in 2017 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2015EN: The dataset describes the land use structure in Germany in 2015 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2016EN: The dataset describes the land use structure in Germany in 2016 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2018EN: The dataset describes the land use structure in Germany in 2018 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2012EN: The dataset describes the land use structure in Germany in 2012 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2009EN: The dataset describes the land use structure in Germany in 2009 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the
ioerDATA2025 · dataset · unknown
Land Use Structure Germany 2006EN: The dataset describes the land use structure in Germany in 2006 comprehensively for the administrative levels of municipalities, municipal associations, districts and district-free cities, federal states, and Germany as a whole. The Earth's surface is divided into three categories: settlement, transportation, and open space, which are further subdivided into subcategories. Each element of the