21 to 30 of 31 Results
Jul 17, 2025 - IOER FDZ
Reiter, Denis; Jehling, Mathias; Hecht, Robert, 2025, "Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany", https://doi.org/10.71830/7N8G1E, ioerDATA, V2
EN: This dataset includes a 100 m raster of changes in access to primary care physicians in Germany. It complements the article "Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany". For calculating the change in access, data on physicians and population for the years 2011 and 2022 on the level of in... |
Münzinger, Markus, 2025, "LiDAR-Based Tree Models for Munich, Germany (2022)", https://doi.org/10.71830/CNC4VU, ioerDATA, V1
EN: This dataset provides detailed tree models for Munich, Germany, derived from airborne LiDAR point clouds collected in February 2022. The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral aerial imagery and a semantic 3D buildi... |
Münzinger, Markus, 2025, "LiDAR-Based Tree Models for Munich, Germany (2012)", https://doi.org/10.71830/NDTUDB, ioerDATA, V1
EN: This dataset provides detailed tree models for Munich, Germany, derived from airborne LiDAR point clouds collected in 2012. The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral aerial imagery and a semantic 3D building model... |
Münzinger, Markus, 2025, "LiDAR-Based Tree Models for Brussels, Belgium (2021)", https://doi.org/10.71830/AIEEPB, ioerDATA, V1
EN: This dataset provides detailed tree models for the Brussels-Capital Region, Belgium, derived from airborne LiDAR point clouds collected in October 2021. The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral aerial imagery and... |
Jun 24, 2025 - IOER FDZ
Dworczyk, Claudia; Dunkel, Alexander; Rafiei, Fatemeh; Syrbe, Ralf-Uwe, 2025, "Replication Package for: Exploring Spatial and Biodiversity Data with Python and JupyterLab", https://doi.org/10.71830/6ILS40, ioerDATA, V1
EN This is the archive replication package for the IOER Jupyter-Book NFDI4Biodiversity training materials, available at training.fdz.ioer.info and developed in the git repository gitlab.hrz.tu-chemnitz.de/ioer/fdz/jupyter-book-nfdi4biodiversity. The Jupyter Book is designed to help students, researchers, scientists and enthusiasts get started with... |
Münzinger, Markus, 2025, "LiDAR-Based Tree Models for Amsterdam, the Netherlands (2020)", https://doi.org/10.71830/OD3BUX, ioerDATA, V1
EN: This dataset provides detailed tree models for Amsterdam derived from airborne LiDAR point clouds collected for the AHN4 digital elevation map for the Netherlands in 2020. The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral... |
Münzinger, Markus, 2025, "LiDAR-Based Tree Models for Berlin, Germany (2021)", https://doi.org/10.71830/I8EAYH, ioerDATA, V1
EN: This dataset provides detailed tree models for Berlin, Germany, derived from airborne LiDAR point clouds collected in February and March 2021. The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral aerial imagery and a semantic... |
Münzinger, Markus, 2025, "LiDAR-Based Tree Models for Braunschweig, Germany (2019)", https://doi.org/10.71830/2DZCIA, ioerDATA, V1
EN: This dataset provides detailed tree models for Braunschweig, Germany, derived from airborne LiDAR point clouds collected in February 2019. The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral aerial imagery and a semantic 3D... |
Münzinger, Markus, 2025, "3D Building Metrics Germany 2023", https://doi.org/10.71830/SKBCSI, ioerDATA, V1
EN: The dataset 3D Building Metrics Germany 2023 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... |
Münzinger, Markus, 2025, "3D Building Metrics Germany 2022", https://doi.org/10.71830/GVNGUA, ioerDATA, V1
EN: The dataset 3D Building Metrics Germany 2022 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... |
