ioerDATA

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ioerDATA is the institutional research data publication repository of the Leibniz Institute of Ecological Urban and Regional Development (IOER). It is managed and curated by the institute's Research Data Centre (IOER FDZ). Please contact us, if you have further questions and feedback.

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271 to 280 of 430 Results

canopy_height_model_munich_lidar_2022_epsg25832.tif.aux.xml Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) XML - 3.0 KB - MD5: 077c36bffa8d90b9c9e75f390eadf32d
canopy_height_model_munich_lidar_2022_epsg25832.tif.ovr Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) Unknown - 419.4 MB - MD5: 597094f62e24ba1d1b5bd4a23d28cddf
canopy_height_model_munich_lidar_2022_epsg25832.tif.xml Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) XML - 16.3 KB - MD5: 0901884b47e120c94b27d5ac820f16ee
ioerDATA_documentation_lidar_based_tree_models_munich_2022_v1.pdf Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) Adobe PDF - 978.0 KB - MD5: 5c39eaed2dac5517717556dcceea8ad4
ioerDATA_figure_canopy_height_model_munich_2022.png Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) PNG Image - 4.0 MB - MD5: 979adc28ea79915718005a8952c84b23
ioerDATA_figure_semantic_3D_tree_model_munich_2022.png Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) PNG Image - 2.7 MB - MD5: 01347fadbf7e4ee09dd212465bc9fe13
parameterized_tree_crowns_munich_lidar_2022.gpkg Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) Unknown - 1.1 GB - MD5: a3dc3e232988dedb6e7891029a04ac68
parameterized_tree_positions_munich_lidar_2022.gpkg Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) Unknown - 491.3 MB - MD5: b0b2a5823d08517db7d3470c44d9de89
semantic_3D_tree_models_munich_lidar_2022.zip Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022) ZIP Archive - 252.4 MB - MD5: 34c4ac65901068168adb7b068cae54ed
LiDAR-Based Tree Models for Munich, Germany (2012) Jul 15, 2025 - IOER FDZ 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...

canopy_height_model_munich_lidar_2022_epsg25832.tif.aux.xml

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

XML - 3.0 KB -

canopy_height_model_munich_lidar_2022_epsg25832.tif.ovr

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

Unknown - 419.4 MB -

canopy_height_model_munich_lidar_2022_epsg25832.tif.xml

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

XML - 16.3 KB -

ioerDATA_documentation_lidar_based_tree_models_munich_2022_v1.pdf

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

Adobe PDF - 978.0 KB -

ioerDATA_figure_canopy_height_model_munich_2022.png

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

PNG Image - 4.0 MB -

ioerDATA_figure_semantic_3D_tree_model_munich_2022.png

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

PNG Image - 2.7 MB -

parameterized_tree_crowns_munich_lidar_2022.gpkg

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

Unknown - 1.1 GB -

parameterized_tree_positions_munich_lidar_2022.gpkg

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

Unknown - 491.3 MB -

semantic_3D_tree_models_munich_lidar_2022.zip

Jul 15, 2025 - LiDAR-Based Tree Models for Munich, Germany (2022)

ZIP Archive - 252.4 MB -

LiDAR-Based Tree Models for Munich, Germany (2012)

Jul 15, 2025 - IOER FDZ

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...

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