21 to 30 of 33 Results
Krüger, Tobias, 2025, "Land Use Structure Germany 2000", https://doi.org/10.71830/3FAIG7, ioerDATA, V1
EN: 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 s... |
Jul 22, 2025 - IOER FDZ
Syrbe, Ralf-Uwe; Meier, Sophie; Oyshi, Marzan Tasnim, 2025, "Replication package for: Climate Regulation in Cities", https://doi.org/10.71830/AFW3N3, ioerDATA, V1
This dataset presents a national indicator of local climate regulation provided by urban green infrastructure (UGI) across 165 German cities. It quantifies the physical cooling capacity of urban green spaces and the proportion of the population benefiting from these services using geospatial methods. |
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... |
