1,471 to 1,480 of 1,606 Results
Jul 15, 2025 -
LiDAR-Based Tree Models for Munich, Germany (2012)
ZIP Archive - 246.0 MB -
MD5: c816e9dad86a26ad594c0349e3414123
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Jupyter Notebook - 3.6 KB -
MD5: 76c6e3a6e46b89ead77e10a7c2d24b46
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Jupyter Notebook - 12.4 KB -
MD5: 6eee08c528f80417271fc0931a1c925f
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Jupyter Notebook - 4.4 KB -
MD5: d6a4578914de3fe44fb06ed371ca7e41
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Jupyter Notebook - 5.2 KB -
MD5: eee20c101147bdb00e22e76fed73f28e
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Jupyter Notebook - 5.4 KB -
MD5: f3ec369a9770ed79d2f3bf8881739e04
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Adobe PDF - 3.1 MB -
MD5: ad7334859b2c820b72d6fd4660f1f4cb
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
ZIP Archive - 999.8 MB -
MD5: fdcb71b69dcd267aeef93328b9c66d66
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Jul 14, 2025 -
Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
JPEG Image - 78.5 KB -
MD5: f9942a682ff076d360fe7878063be1f0
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Jul 11, 2025 - IOER FDZ
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... |
