1 to 10 of 46 Results
Reiter, Denis, 2026, "Estimated intercensal population for Germany (EstIP-DE) 2025", https://doi.org/10.71830/RRITRZ, ioerDATA, V1
EN: EstIP-DE offers small-scale population data for Germany, complementing official census data in between census surveys. The population is estimated on building level by applying a tree-based AI model to 3D building footprints enhanced with a variety of geometrical, morphological and context-based features. The model is trained by dasymetrically... |
Reiter, Denis, 2026, "Estimated intercensal population for Germany (EstIP-DE) 2024", https://doi.org/10.71830/IJWU6Q, ioerDATA, V1
EN: EstIP-DE offers small-scale population data for Germany, complementing official census data in between census surveys. The population is estimated on building level by applying a tree-based AI model to 3D building footprints enhanced with a variety of geometrical, morphological and context-based features. The model is trained by dasymetrically... |
Reiter, Denis, 2026, "Estimated intercensal population for Germany (EstIP-DE) 2023", https://doi.org/10.71830/UA7FRV, ioerDATA, V1
EN: EstIP-DE offers small-scale population data for Germany, complementing official census data in between census surveys. The population is estimated on building level by applying a tree-based AI model to 3D building footprints enhanced with a variety of geometrical, morphological and context-based features. The model is trained by dasymetrically... |
Reiter, Denis, 2026, "Estimated intercensal population for Germany (EstIP-DE) 2022", https://doi.org/10.71830/GKTTRK, ioerDATA, V1
EN: EstIP-DE offers small-scale population data for Germany, complementing official census data in between census surveys. The population is estimated on building level by applying a tree-based AI model to 3D building footprints enhanced with a variety of geometrical, morphological and context-based features. The model is trained by dasymetrically... |
Münzinger, Markus, 2026, "3D Building Metrics Germany 2025", https://doi.org/10.71830/AY8CRK, ioerDATA, V1
EN: The dataset 3D Building Metrics Germany 2025 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 fo... |
Oct 12, 2026 - IOER FDZ
Kleiner, Caspar; Kluwe, Lucie; Jehling, Mathias, 2026, "Cross-Border Urban Form Model for the French-German Border-Region 1990-2020", https://doi.org/10.71830/ULZPTH, ioerDATA, V2
This dataset delivers a cross-border urban form model for the French-German border-region 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... |
Sep 17, 2026 - IOER FDZ
Münzinger, Markus; Burghardt, Dirk; Behnisch, Martin, 2026, "Replication package for: Localized assessment of urban forest structures with 3D indicators", https://doi.org/10.71830/CDAXYF, ioerDATA, V2
EN: 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... |
Jul 8, 2026 - IOER FDZ
Münzinger, Markus; Willenborg, Bruno; Kolbe, Thomas H.; Burghardt, Dirk; Behnisch, Martin, 2026, "Replication Package for: Citywide Assessment of Urban Tree Shading on Roof and Facade Solar Radiation Using Semantic 3D City Models", https://doi.org/10.71830/6PHWRQ, ioerDATA, V1
This 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 Informatio... |
Jul 7, 2026 - IOER FDZ
Krüger, Tobias, 2026, "Georeferenced Addresses in Flood-Prone Areas by District in Germany, 2025", https://doi.org/10.71830/X5C7QU, ioerDATA, V1
The 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 com... |
Münzinger, Markus, 2026, "3D Building Metrics Germany 2024", https://doi.org/10.71830/9CBBWV, ioerDATA, V1
EN: 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 fo... |
