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| Formato: | Recurso digital |
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2025
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| Acceso en línea: | https://doi.org/10.5281/zenodo.17750604 |
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| _version_ | 1866901606409175040 |
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| author | Kükenbrink, Daniel |
| author_facet | Kükenbrink, Daniel |
| contents | <p>Dataset to test the occlusion mapping tool OccPy available <a href="https://github.com/dkueken/OccPy" target="_blank" rel="noopener">here</a>. Data acquired using mobile (MLS), terrestrial (TLS), and drone-based (ULS) laser scanning from a temperate forest close to Zurich Switzerland are provided. Data has been greatly filtered and subsampled to reduce data size to be used in tutorials and package testing.</p> <p>We suggest to use this data for the following bounding box, as also used in the tutorial notebooks found in the <a href="https://github.com/dkueken/OccPy" target="_blank" rel="noopener">code repository</a>: </p> <p>min_x: 2676515<br>min_y: 1246063<br>min_z: 545<br>max_x: 2676525<br>max_y: 1246113<br>max_z: 590</p> <p>TLS data was acquired using a Riegl VZ400i under leaf-off conditions in winter 2023</p> <p>MLS data was acquired using a GeoSLAM ZebHorizon handheld scannin under leaf-on conditions in summer 2025</p> <p>ULS data was acquired using a Riegl miniVUX-3 mounted on a DJI Matrice M600pro under leaf-on conditions in summer 2024</p> <p>Both point clouds (.laz) and scan position or trajectory information are provided. Additionally a reference digital terrain (DTM) and surface (DSM) model are provided. </p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17750604 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Test Data for Occlusion Mapping Tool OccPy Kükenbrink, Daniel <p>Dataset to test the occlusion mapping tool OccPy available <a href="https://github.com/dkueken/OccPy" target="_blank" rel="noopener">here</a>. Data acquired using mobile (MLS), terrestrial (TLS), and drone-based (ULS) laser scanning from a temperate forest close to Zurich Switzerland are provided. Data has been greatly filtered and subsampled to reduce data size to be used in tutorials and package testing.</p> <p>We suggest to use this data for the following bounding box, as also used in the tutorial notebooks found in the <a href="https://github.com/dkueken/OccPy" target="_blank" rel="noopener">code repository</a>: </p> <p>min_x: 2676515<br>min_y: 1246063<br>min_z: 545<br>max_x: 2676525<br>max_y: 1246113<br>max_z: 590</p> <p>TLS data was acquired using a Riegl VZ400i under leaf-off conditions in winter 2023</p> <p>MLS data was acquired using a GeoSLAM ZebHorizon handheld scannin under leaf-on conditions in summer 2025</p> <p>ULS data was acquired using a Riegl miniVUX-3 mounted on a DJI Matrice M600pro under leaf-on conditions in summer 2024</p> <p>Both point clouds (.laz) and scan position or trajectory information are provided. Additionally a reference digital terrain (DTM) and surface (DSM) model are provided. </p> <p> </p> |
| title | Test Data for Occlusion Mapping Tool OccPy |
| url | https://doi.org/10.5281/zenodo.17750604 |