The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods
Abstract
Tree height is an important variable in forest inventory programs but is typically time-consuming and costly to measure in the field using conventional techniques. Airborne light detection and ranging (lidar) provides individual tree height measurements that are highly correlated with field-derived measurements, but the imprecision of conventional field techniques does not allow for definitive assessments regarding the absolute accuracy of lidar tree height measurements and the relative influence of beam divergence setting (i.e., laser footprint size), species type, and digital terrain model (DTM) error on the accuracy of height measurements. In this study, we developed a methodology for acquiring accurate individual tree height measurements (<2 cm error) using a total station survey and used these measurements to establish the expected accuracy of lidar- and field-derived tree height measurements for two of the most ecologically and commercially significant species in western North America, Douglas-fir (Pseudotsuga menziesii) and ponderosa pine (Pinus ponderosa). Tree height measurements obtained from narrow-beam (0.33 m), high-density (6 points/m2) lidar were more accurate (mean error ± SD = –0.73 ± 0.43 m) than those obtained from wide-beam (0.8 m) lidar (–1.12 ± 0.56 m). Lidar-derived height measurements were more accurate for ponderosa pine (–0.43 ± 0.13 m) than for Douglas-fir (–1.05 ± 0.41 m) at the narrow beam setting. Although tree heights acquired using conventional field techniques (–0.27 ± 0.27 m) were more accurate than those obtained using lidar (–0.73 ± 0.43 m for narrow beam setting), this difference will likely be offset by the wider coverage and cost efficiencies afforded by lidar-based forest survey.
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Cites
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Photogrammetric Engineering and Remote Sensing
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Determination of terrain models in wooded areas with airborne laser scanner data
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Detecting and measuring individual trees using an airborne laser scanner
Persson, Å., Holmgren, J., & Söderman, U. (2002) · Photogrammetric Engineering & Remote Sensing · Cited by 713
Næsset, E. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00243-7 · Cited by 460
Brandtberg, T. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00008-7 · Cited by 430
Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory
Reutebuch, S. E., Andersen, H.-E., & McGaughey, R. J. (2005) · Journal of Forestry · doi:10.1093/jof/103.6.286 · Cited by 390
Self-citationAccuracy of a high-resolution lidar terrain model under a conifer forest canopy
Reutebuch, S. E., McGaughey, R. J., Andersen, H.-E., & Carson, W. W. (2003) · Canadian Journal of Remote Sensing · doi:10.5589/m03-022 · Cited by 382
Self-citationCombined high-density lidar and multispectral imagery for individual tree crown analysis
Leckie, D., Gougeon, F., Hill, D., Quinn, R., Armstrong, L., & Shreenan, R. (2003) · Canadian Journal of Remote Sensing · doi:10.5589/m03-024 · Cited by 331
Cited by
Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. P., Patterson, P. L., Saarela, S., Marselis, S., et al. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112845 · Cited by 495
Self-citationThe role of LiDAR in sustainable forest management
Wulder, M. A., Bater, C. W., Coops, N. C., Hilker, T., & White, J. C. (2008) · The Forestry Chronicle · doi:10.5558/tfc84807-6 · Cited by 388
Fusion of LiDAR and imagery for estimating forest canopy fuels
Erdody, T. L., & Moskal, L. M. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.11.002 · Cited by 270
Using lightweight unmanned aerial vehicles to monitor tropical forest recovery
Zahawi, R. A., Dandois, J. P., Holl, K. D., Nadwodny, D., Reid, J. L., & Ellis, E. C. (2015) · Biological Conservation · doi:10.1016/j.biocon.2015.03.031 · Cited by 270
Modelling top height growth and site index using repeated laser scanning data
Socha, J., Pierzchalski, M., Bałazy, R., & Ciesielski, M. (2017) · Forest Ecology and Management · doi:10.1016/j.foreco.2017.09.039 · Cited by 65
Metadata
- Authors
- Andersen, H.-E., Reutebuch, S. E., & McGaughey, R. J.
- Venue
- Canadian Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2006-10
- Volume
- 32
- Issue
- 5
- Pages
- 355-366
- ISSN
- 0703-8992 (ISSN-L)
- 1712-7971
- OpenAlex
- W2116674621
- Cited by
- 364
- References
- 15
- FWCI
- 15.75
- Type
- journal article
- Language
- en
- Open access
- closed
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