Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-2989-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2989-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests
3DGeo Research Group, Institute of Geography, Heidelberg University, Heidelberg, Germany
Jannika Schäfer
Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
Lukas Winiwarter
3DGeo Research Group, Institute of Geography, Heidelberg University, Heidelberg, Germany
Nina Krašovec
3DGeo Research Group, Institute of Geography, Heidelberg University, Heidelberg, Germany
Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
Fabian E. Fassnacht
Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
Remote Sensing and Geoinformatics, Freie Universität Berlin, Berlin, Germany
Bernhard Höfle
3DGeo Research Group, Institute of Geography, Heidelberg University, Heidelberg, Germany
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
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Cited
24 citations as recorded by crossref.
- Individual tree segmentation from UAS Lidar data based on hierarchical filtering and clustering C. Zhang et al. 10.1080/17538947.2024.2356124
- Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees Y. Cao et al. 10.1016/j.jag.2023.103490
- A new method for individual treetop detection with low-resolution aerial laser scanned data G. Diószegi et al. 10.1007/s40808-024-02060-w
- Accuracy comparison of terrestrial and airborne laser scanning and manual measurements for stem curve-based growth measurements of individual trees V. Soininen et al. 10.1016/j.srs.2024.100125
- Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models J. Schäfer et al. 10.1093/forestry/cpad061
- Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review S. Holzwarth et al. 10.3390/rs15174234
- Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR S. Oehmcke et al. 10.1016/j.rse.2023.113968
- Regional‐Scale Landscape Response to an Extreme Precipitation Event From Repeat Lidar and Object‐Based Image Analysis S. DeLong et al. 10.1029/2022EA002420
- Tree parameter extraction method based on new remote sensing technology and terrestrial laser scanning technology A. Wang et al. 10.1016/j.bdr.2024.100460
- Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation P. Keerthinathan et al. 10.1080/01431161.2023.2249604
- Graph-Based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds Z. Tian & S. Li 10.1109/TGRS.2022.3218603
- Towards Intricate Stand Structure: A Novel Individual Tree Segmentation Method for ALS Point Cloud Based on Extreme Offset Deep Learning Y. Zhang et al. 10.3390/app13116853
- A Method for Extracting the Tree Feature Parameters of Populus tomentosa in the Leafy Stage X. Shen et al. 10.3390/f14091757
- Non-Destructive Estimation of Deciduous Forest Metrics: Comparisons between UAV-LiDAR, UAV-DAP, and Terrestrial LiDAR Leaf-Off Point Clouds Using Two QSMs Y. Gan et al. 10.3390/rs16040697
- A Method to Order Point Clouds for Visualization on the Ray Tracing Pipeline P. Timokhin & M. Mikhaylyuk 10.1134/S0361768824700075
- A Reliable DBH Estimation Method Using Terrestrial LiDAR Points through Polar Coordinate Transformation and Progressive Outlier Removal Z. Hui et al. 10.3390/f15061031
- A Review of Point Cloud Registration Algorithms for Laser Scanners: Applications in Large-Scale Aircraft Measurement H. Si et al. 10.3390/app122010247
- ALS Point Cloud Semantic Segmentation Based on Graph Convolution and Transformer With Elevation Attention S. Huang et al. 10.1109/JSTARS.2023.3347224
- Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data S. Dietenberger et al. 10.3390/rs15184366
- An Automatic Individual Tree 3D Change Detection Method for Allometric Parameters Estimation in Mixed Uneven-Aged Forest Stands from ALS Data C. Spadavecchia et al. 10.3390/rs14184666
- Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data X. Zhao et al. 10.34133/plantphenomics.0166
- Canopy structure influences arthropod communities within and beyond tree identity effects: Insights from combining LiDAR data, insecticidal fogging and machine learning regression modelling B. Wildermuth et al. 10.1016/j.ecolind.2024.111901
- Individual-Tree Segmentation from UAV–LiDAR Data Using a Region-Growing Segmentation and Supervoxel-Weighted Fuzzy Clustering Approach Y. Fu et al. 10.3390/rs16040608
- Tree Species Classification Using Optimized Features Derived from Light Detection and Ranging Point Clouds Based on Fractal Geometry and Quantitative Structure Model Z. Hui et al. 10.3390/f14061265
24 citations as recorded by crossref.
- Individual tree segmentation from UAS Lidar data based on hierarchical filtering and clustering C. Zhang et al. 10.1080/17538947.2024.2356124
- Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees Y. Cao et al. 10.1016/j.jag.2023.103490
- A new method for individual treetop detection with low-resolution aerial laser scanned data G. Diószegi et al. 10.1007/s40808-024-02060-w
- Accuracy comparison of terrestrial and airborne laser scanning and manual measurements for stem curve-based growth measurements of individual trees V. Soininen et al. 10.1016/j.srs.2024.100125
- Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models J. Schäfer et al. 10.1093/forestry/cpad061
- Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review S. Holzwarth et al. 10.3390/rs15174234
- Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR S. Oehmcke et al. 10.1016/j.rse.2023.113968
- Regional‐Scale Landscape Response to an Extreme Precipitation Event From Repeat Lidar and Object‐Based Image Analysis S. DeLong et al. 10.1029/2022EA002420
- Tree parameter extraction method based on new remote sensing technology and terrestrial laser scanning technology A. Wang et al. 10.1016/j.bdr.2024.100460
- Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation P. Keerthinathan et al. 10.1080/01431161.2023.2249604
- Graph-Based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds Z. Tian & S. Li 10.1109/TGRS.2022.3218603
- Towards Intricate Stand Structure: A Novel Individual Tree Segmentation Method for ALS Point Cloud Based on Extreme Offset Deep Learning Y. Zhang et al. 10.3390/app13116853
- A Method for Extracting the Tree Feature Parameters of Populus tomentosa in the Leafy Stage X. Shen et al. 10.3390/f14091757
- Non-Destructive Estimation of Deciduous Forest Metrics: Comparisons between UAV-LiDAR, UAV-DAP, and Terrestrial LiDAR Leaf-Off Point Clouds Using Two QSMs Y. Gan et al. 10.3390/rs16040697
- A Method to Order Point Clouds for Visualization on the Ray Tracing Pipeline P. Timokhin & M. Mikhaylyuk 10.1134/S0361768824700075
- A Reliable DBH Estimation Method Using Terrestrial LiDAR Points through Polar Coordinate Transformation and Progressive Outlier Removal Z. Hui et al. 10.3390/f15061031
- A Review of Point Cloud Registration Algorithms for Laser Scanners: Applications in Large-Scale Aircraft Measurement H. Si et al. 10.3390/app122010247
- ALS Point Cloud Semantic Segmentation Based on Graph Convolution and Transformer With Elevation Attention S. Huang et al. 10.1109/JSTARS.2023.3347224
- Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data S. Dietenberger et al. 10.3390/rs15184366
- An Automatic Individual Tree 3D Change Detection Method for Allometric Parameters Estimation in Mixed Uneven-Aged Forest Stands from ALS Data C. Spadavecchia et al. 10.3390/rs14184666
- Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data X. Zhao et al. 10.34133/plantphenomics.0166
- Canopy structure influences arthropod communities within and beyond tree identity effects: Insights from combining LiDAR data, insecticidal fogging and machine learning regression modelling B. Wildermuth et al. 10.1016/j.ecolind.2024.111901
- Individual-Tree Segmentation from UAV–LiDAR Data Using a Region-Growing Segmentation and Supervoxel-Weighted Fuzzy Clustering Approach Y. Fu et al. 10.3390/rs16040608
- Tree Species Classification Using Optimized Features Derived from Light Detection and Ranging Point Clouds Based on Fractal Geometry and Quantitative Structure Model Z. Hui et al. 10.3390/f14061265
Latest update: 17 Jul 2024
Short summary
3D point clouds, acquired by laser scanning, allow us to retrieve information about forest structure and individual tree properties. We conducted airborne, UAV-borne and terrestrial laser scanning in German mixed forests, resulting in overlapping point clouds with different characteristics. From these, we generated a comprehensive database of individual tree point clouds and corresponding tree metrics. Our dataset may serve as a benchmark dataset for algorithms in forestry research.
3D point clouds, acquired by laser scanning, allow us to retrieve information about forest...
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