Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code]:
Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is...
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| Zusammenfassung: | Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is a suitable 3D representation of the object of interest. For VLS of forests, the way trees are constructed influences both the performance and the realism of the simulations. In this contribution, we analyse how well VLS can reproduce scans of individual trees in a forest. Specifically, we examine how different voxel sizes used to create the virtual forest affect point cloud metrics (e.g. height percentiles) and tree metrics (e.g. tree height and crown base height) derived from simulated point clouds. The level of detail in the voxelisation is dependent on the voxel size, which usually influences the number of voxel cells of the model. A smaller voxel size (i.e., more voxels) increases the computational cost of laser scanning simulations but allows for more detail. We present a method that decouples voxel grid resolution from final voxel cube size by scaling voxels to smaller cubes, whose surface is proportional to estimated normalised local plant area density. Voxel models are created from terrestrial laser scanning point clouds and then virtually scanned in one airborne and one UAV-borne simulation scenario. |
| Beschreibung: | Gesehen am 22.02.2022 |
| Beschreibung: | 1 Online-Ressource (31 Files) |
| DOI: | 10.11588/data/MZBO7T |
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| 505 | 8 | |a This dataset includes - HELIOS++ data files to reproduce the simulations (forest (voxel) models, scene files and survey files) - Reference point clouds of the forest plots and of individual target trees - Simulated point clouds of the forest plots and of individual target trees - TLS point clouds of the target trees, based on which the trees were reconstructed for the simulations - Metrics computed from the reference and the simulated tree point clouds - Python scripts used for voxel processing, simulation output processing and metric computation - Examples of configuration files for AMAPVox (https://amap-dev.cirad.fr/projects/amapvox), the software for voxel-based plant area density estimation (2021-06-25) | |
| 520 | 3 | |a Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is a suitable 3D representation of the object of interest. For VLS of forests, the way trees are constructed influences both the performance and the realism of the simulations. In this contribution, we analyse how well VLS can reproduce scans of individual trees in a forest. Specifically, we examine how different voxel sizes used to create the virtual forest affect point cloud metrics (e.g. height percentiles) and tree metrics (e.g. tree height and crown base height) derived from simulated point clouds. The level of detail in the voxelisation is dependent on the voxel size, which usually influences the number of voxel cells of the model. A smaller voxel size (i.e., more voxels) increases the computational cost of laser scanning simulations but allows for more detail. We present a method that decouples voxel grid resolution from final voxel cube size by scaling voxels to smaller cubes, whose surface is proportional to estimated normalised local plant area density. Voxel models are created from terrestrial laser scanning point clouds and then virtually scanned in one airborne and one UAV-borne simulation scenario. | |
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| author | Weiser, Hannah Winiwarter, Lukas 1994- Anders, Katharina 1990- Faßnacht, Fabian Ewald Höfle, Bernhard |
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| contents | This dataset includes - HELIOS++ data files to reproduce the simulations (forest (voxel) models, scene files and survey files) - Reference point clouds of the forest plots and of individual target trees - Simulated point clouds of the forest plots and of individual target trees - TLS point clouds of the target trees, based on which the trees were reconstructed for the simulations - Metrics computed from the reference and the simulated tree point clouds - Python scripts used for voxel processing, simulation output processing and metric computation - Examples of configuration files for AMAPVox (https://amap-dev.cirad.fr/projects/amapvox), the software for voxel-based plant area density estimation (2021-06-25) |
| ctrlnum | (OCoLC)1310253613 (DE-599)KXP1793487359 |
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| spelling | Weiser, Hannah Verfasser (DE-588)1244932566 aut Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] Hannah Weiser, Lukas Winiwarter, Katharina Anders, Fabian Ewald Fassnacht, Bernhard Höfle Heidelberg Universität 2021-08-18 1 Online-Ressource (31 Files) txt rdacontent cod rdacontent c rdamedia cr rdacarrier Gesehen am 22.02.2022 This dataset includes - HELIOS++ data files to reproduce the simulations (forest (voxel) models, scene files and survey files) - Reference point clouds of the forest plots and of individual target trees - Simulated point clouds of the forest plots and of individual target trees - TLS point clouds of the target trees, based on which the trees were reconstructed for the simulations - Metrics computed from the reference and the simulated tree point clouds - Python scripts used for voxel processing, simulation output processing and metric computation - Examples of configuration files for AMAPVox (https://amap-dev.cirad.fr/projects/amapvox), the software for voxel-based plant area density estimation (2021-06-25) Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is a suitable 3D representation of the object of interest. For VLS of forests, the way trees are constructed influences both the performance and the realism of the simulations. In this contribution, we analyse how well VLS can reproduce scans of individual trees in a forest. Specifically, we examine how different voxel sizes used to create the virtual forest affect point cloud metrics (e.g. height percentiles) and tree metrics (e.g. tree height and crown base height) derived from simulated point clouds. The level of detail in the voxelisation is dependent on the voxel size, which usually influences the number of voxel cells of the model. A smaller voxel size (i.e., more voxels) increases the computational cost of laser scanning simulations but allows for more detail. We present a method that decouples voxel grid resolution from final voxel cube size by scaling voxels to smaller cubes, whose surface is proportional to estimated normalised local plant area density. Voxel models are created from terrestrial laser scanning point clouds and then virtually scanned in one airborne and one UAV-borne simulation scenario. Lidarsignal (DE-588)4167608-7 gnd rswk-swf Waldbestand (DE-588)4132298-8 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf LiDAR simulation Terrestrial Laser Scanning Leaf area density HELIOS++ Virtual laser scanning Earth and Environmental Sciences (DE-588)1098579690 Forschungsdaten gnd-content (DE-588)4011119-2 Datenbank gnd-content Waldbestand (DE-588)4132298-8 s Fernerkundung (DE-588)4016796-3 s Lidarsignal (DE-588)4167608-7 s DE-604 Winiwarter, Lukas 1994- Verfasser (DE-588)1198882808 aut Anders, Katharina 1990- Verfasser (DE-588)1128842580 aut Faßnacht, Fabian Ewald Verfasser (DE-588)1049994310 aut Höfle, Bernhard Verfasser (DE-588)1019895403 aut Erscheint auch als Druck-Ausgabe Forschungsdaten zu Weiser, Hannah Opaque voxel-based tree models for virtual laser scanning in forestry applications 2021 https://doi.org/10.11588/data/MZBO7T Resolving-System Verlag kostenfrei Volltext https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/MZBO7T Verlag kostenfrei Volltext |
| spellingShingle | Weiser, Hannah Winiwarter, Lukas 1994- Anders, Katharina 1990- Faßnacht, Fabian Ewald Höfle, Bernhard Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] This dataset includes - HELIOS++ data files to reproduce the simulations (forest (voxel) models, scene files and survey files) - Reference point clouds of the forest plots and of individual target trees - Simulated point clouds of the forest plots and of individual target trees - TLS point clouds of the target trees, based on which the trees were reconstructed for the simulations - Metrics computed from the reference and the simulated tree point clouds - Python scripts used for voxel processing, simulation output processing and metric computation - Examples of configuration files for AMAPVox (https://amap-dev.cirad.fr/projects/amapvox), the software for voxel-based plant area density estimation (2021-06-25) Lidarsignal (DE-588)4167608-7 gnd Waldbestand (DE-588)4132298-8 gnd Fernerkundung (DE-588)4016796-3 gnd |
| subject_GND | (DE-588)4167608-7 (DE-588)4132298-8 (DE-588)4016796-3 (DE-588)1098579690 (DE-588)4011119-2 |
| title | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] |
| title_auth | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] |
| title_exact_search | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] |
| title_exact_search_txtP | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] |
| title_full | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] Hannah Weiser, Lukas Winiwarter, Katharina Anders, Fabian Ewald Fassnacht, Bernhard Höfle |
| title_fullStr | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] Hannah Weiser, Lukas Winiwarter, Katharina Anders, Fabian Ewald Fassnacht, Bernhard Höfle |
| title_full_unstemmed | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] Hannah Weiser, Lukas Winiwarter, Katharina Anders, Fabian Ewald Fassnacht, Bernhard Höfle |
| title_short | Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code] |
| title_sort | opaque voxel based tree models for virtual laser scanning in forestry applications research data and source code |
| topic | Lidarsignal (DE-588)4167608-7 gnd Waldbestand (DE-588)4132298-8 gnd Fernerkundung (DE-588)4016796-3 gnd |
| topic_facet | Lidarsignal Waldbestand Fernerkundung Forschungsdaten Datenbank |
| url | https://doi.org/10.11588/data/MZBO7T https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/MZBO7T |
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