The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
Abstract
Mean tree height, dominant height, mean diameter, stem number, basal area and timber volume of 116 georeferenced field sample plots were estimated from various canopy height and canopy density metrics derived by means of a small-footprint laser scanner over young and mature forest stands using regression analysis. The sample plots were distributed systematically throughout a 6500 ha study area, and the size of each plot was 232.9 m2. Regressions for coniferous forest explained 60–97% of the variability in ground reference values of the six studied characteristics. A proposed practical two-phase procedure for prediction of corresponding characteristics of entire forest stands was tested. Fifty-seven test plots within the study area with a size of approximately 3740 m2 each were divided into 232.9 m2 regular grid cells. The six examined characteristics were predicted for each grid cell from the corresponding laser data using the estimated regression equations. Average values for each test plot were computed and compared with ground-based estimates measured over the entire plot. The bias and standard deviations of the differences between predicted and ground reference values (in parentheses) of mean height, dominant height, mean diameter, stem number, basal area and volume were −0.58 to −0.85 m (0.64–1.01 m), −0.60 to −0.99 m (0.67–0.84 m), 0.15–0.74 cm (1.33–2.42 cm), 34–108 ha−1 (97–466 ha−1), 0.43–2.51 m2 ha−1 (1.83–3.94 m2 ha−1) and 5.9–16.1 m3 ha−1 (15.1–35.1 m3 ha−1), respectively.
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Citations
Cites
Næsset, E. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00290-5 · Cited by 1,430
Self-citationDetermination of terrain models in wooded areas with airborne laser scanner data
Kraus, K., & Pfeifer, N. (1998) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/s0924-2716(98)00009-4 · Cited by 1,218
Lefsky, M. A., Cohen, W. B., Acker, S. A., Parker, G. G., Spies, T. A., & Harding, D. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(99)00052-8 · Cited by 904
Detecting and measuring individual trees using an airborne laser scanner
Persson, Å., Holmgren, J., & Söderman, U. (2002) · Photogrammetric Engineering & Remote Sensing · Cited by 713
Determination of mean tree height of forest stands using airborne laser scanner data
Næsset, E. (1997) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/s0924-2716(97)83000-6 · Cited by 604
Self-citationEstimating timber volume of forest stands using airborne laser scanner data
Næsset, E. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(97)00041-2 · Cited by 543
Self-citationMeans, J. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00091-1 · Cited by 503
Predicting forest stand characteristics with airborne scanning lidar
Means, J. E., Acker, S. A., Fitt, B. J., Renslow, M., Emerson, L., & Hendrix, C. (2000) · Photogrammetric Engineering & Remote Sensing · Cited by 472
Næsset, E. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00243-7 · Cited by 460
Self-citationDerivations of stand heights from airborne laser scanner data with canopy-based quantile estimators
Magnussen, S., & Boudewyn, P. (1998) · Canadian Journal of Forest Research · doi:10.1139/cjfr-28-7-1016 · Cited by 430
Cited by
Lidar remote sensing of forest biomass: A scale-invariant estimation approach using airborne lasers
Zhao, K., Popescu, S., & Nelson, R. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.09.009 · Cited by 346
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
- Næsset, E.
- Venue
- Scandinavian Journal of Forest Research
- Publisher
- Informa UK Limited
- Published
- 2004-04
- Volume
- 19
- Issue
- 2
- Pages
- 164-179
- ISSN
- 0282-7581 (ISSN-L)
- 1651-1891
- OpenAlex
- W2027672019
- Cited by
- 553
- References
- 14
- FWCI
- 24.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.