Articles | Volume 17, issue 23
https://doi.org/10.5194/bg-17-5939-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-5939-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Dec 2020
Research article |
| 02 Dec 2020
| 02 Dec 2020
Robust processing of airborne laser scans to plant area density profiles
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Julia Freier
Fraunhofer Institute for Energy Economics and Energy System Technology, Kassel, Germany
Ebba Dellwik
Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark
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Total article views: 3,484 (including HTML, PDF, and XML)
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Total article views: 2,837 (including HTML, PDF, and XML)
Thereof 2,674 with geography defined
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Total article views: 647 (including HTML, PDF, and XML)
Thereof 577 with geography defined
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Cited
17 citations as recorded by crossref.
- Forest Edge Representation in Scaled Experiments: A Flexible Approach for Matching to Field Observations E. Dellwik et al. https://doi.org/10.1007/s10546-023-00796-z
- Numerical Modelling of Neutral Atmospheric Boundary Layer Flow Through Heterogeneous Forest Canopies in Complex Terrain (A Case Study of a Swedish Wind Farm) H. Abedi et al. https://doi.org/10.2139/ssrn.3868024
- Hyperspectral imagery, LiDAR point clouds, and environmental DNA to assess land‐water linkage of biodiversity across aquatic functional feeding groups H. Zhang et al. https://doi.org/10.1002/rse2.70010
- Assessment of flow characteristics over complex terrain covered by the heterogeneous forest at slightly varying mean flow directions H. Abedi https://doi.org/10.1016/j.renene.2022.11.030
- Habitat quality assessment of temperate forest ecosystems: An airborne LiDAR-based approach to predict the Index of Biodiversity Potential (IBP) at large scale M. Collard et al. https://doi.org/10.1016/j.foreco.2025.123305
- Estimating plant area density of individual trees from discrete airborne laser scanning data using intensity information and path length distribution G. Gao et al. https://doi.org/10.1016/j.jag.2023.103281
- Simulating the 3D Distribution of Absorbed Shortwave Radiation in a Tree Crown: Comparison of Simplified and Monte Carlo Models H. Oshio & T. Asawa https://doi.org/10.1029/2023JD038612
- Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density G. Vincent et al. https://doi.org/10.1016/j.rse.2022.113442
- Uncrewed Aerial Vehicle (UAV)-Based High-Throughput Phenotyping of Maize Silage Yield and Nutritive Values Using Multi-Sensory Feature Fusion and Multi-Task Learning with Attention Mechanism J. Fan et al. https://doi.org/10.3390/rs17213654
- The impact of forest management on wind statistics: evaluation of clearings and forest growth R. Topic et al. https://doi.org/10.1088/1742-6596/3224/2/022046
- Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site Y. Wang et al. https://doi.org/10.1080/15481603.2023.2214987
- Wind energy relevant characteristics of turbulence over boreal forests J. Arnqvist et al. https://doi.org/10.1088/1742-6596/2767/9/092096
- Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning T. Yu et al. https://doi.org/10.3390/rs15164108
- Wind turbine wake inflow over a heterogeneous forest - comparison between measurement and LES simulation G. Navarro Diaz et al. https://doi.org/10.1088/1742-6596/1934/1/012008
- Using airborne LiDAR to quantify changes in forest structure following an ice storm disturbance and subsequent salvage logging M. Kobal et al. https://doi.org/10.1080/02827581.2025.2563602
- Revealing fine-scale variability in boreal forest temperatures using a mechanistic microclimate model J. Kolstela et al. https://doi.org/10.1016/j.agrformet.2024.109995
- Validation of the vertical plant area index profile product derived from GEDI over global forest sites Y. Wang et al. https://doi.org/10.1016/j.agrformet.2025.110612
17 citations as recorded by crossref.
- Forest Edge Representation in Scaled Experiments: A Flexible Approach for Matching to Field Observations E. Dellwik et al. https://doi.org/10.1007/s10546-023-00796-z
- Numerical Modelling of Neutral Atmospheric Boundary Layer Flow Through Heterogeneous Forest Canopies in Complex Terrain (A Case Study of a Swedish Wind Farm) H. Abedi et al. https://doi.org/10.2139/ssrn.3868024
- Hyperspectral imagery, LiDAR point clouds, and environmental DNA to assess land‐water linkage of biodiversity across aquatic functional feeding groups H. Zhang et al. https://doi.org/10.1002/rse2.70010
- Assessment of flow characteristics over complex terrain covered by the heterogeneous forest at slightly varying mean flow directions H. Abedi https://doi.org/10.1016/j.renene.2022.11.030
- Habitat quality assessment of temperate forest ecosystems: An airborne LiDAR-based approach to predict the Index of Biodiversity Potential (IBP) at large scale M. Collard et al. https://doi.org/10.1016/j.foreco.2025.123305
- Estimating plant area density of individual trees from discrete airborne laser scanning data using intensity information and path length distribution G. Gao et al. https://doi.org/10.1016/j.jag.2023.103281
- Simulating the 3D Distribution of Absorbed Shortwave Radiation in a Tree Crown: Comparison of Simplified and Monte Carlo Models H. Oshio & T. Asawa https://doi.org/10.1029/2023JD038612
- Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density G. Vincent et al. https://doi.org/10.1016/j.rse.2022.113442
- Uncrewed Aerial Vehicle (UAV)-Based High-Throughput Phenotyping of Maize Silage Yield and Nutritive Values Using Multi-Sensory Feature Fusion and Multi-Task Learning with Attention Mechanism J. Fan et al. https://doi.org/10.3390/rs17213654
- The impact of forest management on wind statistics: evaluation of clearings and forest growth R. Topic et al. https://doi.org/10.1088/1742-6596/3224/2/022046
- Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site Y. Wang et al. https://doi.org/10.1080/15481603.2023.2214987
- Wind energy relevant characteristics of turbulence over boreal forests J. Arnqvist et al. https://doi.org/10.1088/1742-6596/2767/9/092096
- Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning T. Yu et al. https://doi.org/10.3390/rs15164108
- Wind turbine wake inflow over a heterogeneous forest - comparison between measurement and LES simulation G. Navarro Diaz et al. https://doi.org/10.1088/1742-6596/1934/1/012008
- Using airborne LiDAR to quantify changes in forest structure following an ice storm disturbance and subsequent salvage logging M. Kobal et al. https://doi.org/10.1080/02827581.2025.2563602
- Revealing fine-scale variability in boreal forest temperatures using a mechanistic microclimate model J. Kolstela et al. https://doi.org/10.1016/j.agrformet.2024.109995
- Validation of the vertical plant area index profile product derived from GEDI over global forest sites Y. Wang et al. https://doi.org/10.1016/j.agrformet.2025.110612
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Data generated by airborne laser scans enable the characterization of surface vegetation for any application that might need it, such as forest management, modeling for numerical weather prediction, or wind energy estimation. In this work we present a new algorithm for calculating the vegetation density using data from airborne laser scans. The new routine is more robust than earlier methods, and an implementation in popular programming languages accompanies the article to support new users.
Data generated by airborne laser scans enable the characterization of surface vegetation for any...
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