1,501 to 1,510 of 1,614 Results
Jul 11, 2025 -
LiDAR-Based Tree Models for Brussels, Belgium (2021)
Unknown - 262.8 MB -
MD5: b4a8a428355293b20fa2c73dfc228b97
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Jul 11, 2025 -
LiDAR-Based Tree Models for Brussels, Belgium (2021)
Compressed Archive - 113.5 MB -
MD5: 4ab3dafb0c3d547b2d2b093fced04a35
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Jun 24, 2025
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... |
Jun 24, 2025 -
Replication Package for: Exploring Spatial and Biodiversity Data with Python and JupyterLab
Markdown Text - 17.1 KB -
MD5: 8fd1a030ebf193fac56754bab346c0df
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Jun 24, 2025 -
Replication Package for: Exploring Spatial and Biodiversity Data with Python and JupyterLab
ZIP Archive - 118.1 MB -
MD5: 09711f53cc8b64ba92072c42f6c547c2
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May 26, 2025
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... |
Markdown Text - 13.0 KB -
MD5: 7bf2fa92ad1a4d1699373694829db204
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Adobe PDF - 14.8 MB -
MD5: 061dcad61fbd5a6de03637f32077e778
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Markdown Text - 12.3 KB -
MD5: 910416f0249077eb214a5250f209b836
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Unknown - 89 B -
MD5: 3f79e182255e73611f0f917d58ca8a12
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