Articles | Volume 16, issue 10
https://doi.org/10.5194/hess-16-3749-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-16-3749-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Oct 2012
Research article |
| 23 Oct 2012
Estimation of forest structure metrics relevant to hydrologic modelling using coordinate transformation of airborne laser scanning data
A. Varhola
Department of Forest Resources Management, University of British Columbia, 2231-2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
G. W. Frazer
Department of Geography, University of Victoria, 3800 Finnerty Road, Victoria, BC, V8P 5C2, Canada
P. Teti
BC Ministry of Forests, Lands, and Natural Resource Operations, 200-640 Borland Street, Williams Lake, BC, V2G 4T1, Canada
N. C. Coops
Department of Forest Resources Management, University of British Columbia, 2231-2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada
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Cited
21 citations as recorded by crossref.
- Estimating the Solar Transmittance of Urban Trees Using Airborne LiDAR and Radiative Transfer Simulation H. Oshio & T. Asawa 10.1109/TGRS.2016.2565699
- Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models C. Webster et al. 10.1016/j.rse.2020.112017
- Canopy closure, LAI and radiation transfer from airborne LiDAR synthetic images D. Moeser et al. 10.1016/j.agrformet.2014.06.008
- Evaluating observational methods to quantify snow duration under diverse forest canopies S. Dickerson‐Lange et al. 10.1002/2014WR015744
- Assessing the transferability of statistical predictive models for leaf area index between two airborne discrete return LiDAR sensor designs within multiple intensely managed Loblolly pine forest locations in the south-eastern USA M. Sumnall et al. 10.1016/j.rse.2016.02.012
- Extracting Canopy Closure by the CHM-Based and SHP-Based Methods with a Hemispherical FOV from UAV-LiDAR Data in a Poplar Plantation Y. Pu et al. 10.3390/rs13193837
- Lower forest density enhances snow retention in regions with warmer winters: A global framework developed from plot-scale observations and modeling J. Lundquist et al. 10.1002/wrcr.20504
- Observations of distributed snow depth and snow duration within diverse forest structures in a maritime mountain watershed S. Dickerson‐Lange et al. 10.1002/2015WR017873
- Estimating leaf area index at multiple heights within the understorey component of Loblolly pine forests from airborne discrete-return lidar M. Sumnall et al. 10.1080/01431161.2015.1117683
- Modeling realized gains in Douglas-fir (Pseudotsuga menziesii) using laser scanning data from unmanned aircraft systems (UAS) S. Grubinger et al. 10.1016/j.foreco.2020.118284
- Evolution of forest precipitation water storage measurement methods J. Friesen et al. 10.1002/hyp.10376
- Exploration of remotely sensed forest structure and ultrasonic range sensor metrics to improve empirical snow models A. Varhola et al. 10.1002/hyp.9952
- Spatially Continuous Characterization of Forest Canopy Structure and Subcanopy Irradiance Derived from Handheld Radiometer Surveys G. Mazzotti et al. 10.1175/JHM-D-18-0158.1
- Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance A. Hovi et al. 10.1016/j.rse.2023.113610
- Estimation of watershed-level distributed forest structure metrics relevant to hydrologic modeling using LiDAR and Landsat A. Varhola & N. Coops 10.1016/j.jhydrol.2013.02.032
- Estimating below‐canopy light regimes using airborne laser scanning: An application to plant community analysis F. Zellweger et al. 10.1002/ece3.5462
- Calibration and Validation of a Detailed Architectural Canopy Model Reconstruction for the Simulation of Synthetic Hemispherical Images and Airborne LiDAR Data M. Bremer et al. 10.3390/rs9030220
- Spatial quantification of leafless canopy structure in a boreal birch forest T. Reid et al. 10.1016/j.agrformet.2013.12.005
- Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval Y. Chen et al. 10.1080/15481603.2023.2168410
- Using field-based, photogrammetric point cloud, orthophoto and LiDAR-derived metrics to assess forest structure–snowpack relationships in the Great Lakes–St. Lawrence Forest region A. Beaton et al. 10.1080/07011784.2024.2312301
- Estimation of solar direct beam transmittance of conifer canopies from airborne LiDAR K. Musselman et al. 10.1016/j.rse.2013.05.021
19 citations as recorded by crossref.
- Estimating the Solar Transmittance of Urban Trees Using Airborne LiDAR and Radiative Transfer Simulation H. Oshio & T. Asawa 10.1109/TGRS.2016.2565699
- Enhancing airborne LiDAR data for improved forest structure representation in shortwave transmission models C. Webster et al. 10.1016/j.rse.2020.112017
- Canopy closure, LAI and radiation transfer from airborne LiDAR synthetic images D. Moeser et al. 10.1016/j.agrformet.2014.06.008
- Evaluating observational methods to quantify snow duration under diverse forest canopies S. Dickerson‐Lange et al. 10.1002/2014WR015744
- Assessing the transferability of statistical predictive models for leaf area index between two airborne discrete return LiDAR sensor designs within multiple intensely managed Loblolly pine forest locations in the south-eastern USA M. Sumnall et al. 10.1016/j.rse.2016.02.012
- Extracting Canopy Closure by the CHM-Based and SHP-Based Methods with a Hemispherical FOV from UAV-LiDAR Data in a Poplar Plantation Y. Pu et al. 10.3390/rs13193837
- Lower forest density enhances snow retention in regions with warmer winters: A global framework developed from plot-scale observations and modeling J. Lundquist et al. 10.1002/wrcr.20504
- Observations of distributed snow depth and snow duration within diverse forest structures in a maritime mountain watershed S. Dickerson‐Lange et al. 10.1002/2015WR017873
- Estimating leaf area index at multiple heights within the understorey component of Loblolly pine forests from airborne discrete-return lidar M. Sumnall et al. 10.1080/01431161.2015.1117683
- Modeling realized gains in Douglas-fir (Pseudotsuga menziesii) using laser scanning data from unmanned aircraft systems (UAS) S. Grubinger et al. 10.1016/j.foreco.2020.118284
- Evolution of forest precipitation water storage measurement methods J. Friesen et al. 10.1002/hyp.10376
- Exploration of remotely sensed forest structure and ultrasonic range sensor metrics to improve empirical snow models A. Varhola et al. 10.1002/hyp.9952
- Spatially Continuous Characterization of Forest Canopy Structure and Subcanopy Irradiance Derived from Handheld Radiometer Surveys G. Mazzotti et al. 10.1175/JHM-D-18-0158.1
- Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance A. Hovi et al. 10.1016/j.rse.2023.113610
- Estimation of watershed-level distributed forest structure metrics relevant to hydrologic modeling using LiDAR and Landsat A. Varhola & N. Coops 10.1016/j.jhydrol.2013.02.032
- Estimating below‐canopy light regimes using airborne laser scanning: An application to plant community analysis F. Zellweger et al. 10.1002/ece3.5462
- Calibration and Validation of a Detailed Architectural Canopy Model Reconstruction for the Simulation of Synthetic Hemispherical Images and Airborne LiDAR Data M. Bremer et al. 10.3390/rs9030220
- Spatial quantification of leafless canopy structure in a boreal birch forest T. Reid et al. 10.1016/j.agrformet.2013.12.005
- Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval Y. Chen et al. 10.1080/15481603.2023.2168410
2 citations as recorded by crossref.
- Using field-based, photogrammetric point cloud, orthophoto and LiDAR-derived metrics to assess forest structure–snowpack relationships in the Great Lakes–St. Lawrence Forest region A. Beaton et al. 10.1080/07011784.2024.2312301
- Estimation of solar direct beam transmittance of conifer canopies from airborne LiDAR K. Musselman et al. 10.1016/j.rse.2013.05.021
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