The DOI matches its Crossref record.
Estimating forest canopy fuel parameters using LIDAR data
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
LiDAR methods remotely capture canopy, crown, leaf shape and spatial arrangement, and provide estimates of fuel mass.
“For example, measurement of aerial fuels has been revolutionized with LiDAR methods that remotely capture canopy, crown, leaf shape and spatial arrangement, and provide estimates of fuel mass (Andersen, McGaughey, & Reutebuch, 2005).”
From Fire as a fundamental ecological process: Research advances and frontiers (2020) · cites this paper as Andersen et al., 2005
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 15
- Beukema, S. J., Greenough, D. C., Robinson, C. E., Kurtz, W. A., Reinhardt, E. D., Crookston, N. L., Brown, J. K., Hardy, C. C., & Stage A. R. (1997). An introduction to the fire and fuels extension to FVS. In R. Teck, Mouer, M. & J. Adams (Eds.), Proceedings of the Forest Vegetation Simulator Conference, February 3–7, 1997, Fort Collins, CO. General Technical Report INT-GTR-373 Ogden, UT. U.S. Department of Agriculture, Forest Service, Intermountain Research Station. pp. 191–195.
- Curtis, R., Marshall, D., & DeBell, D. (Eds.) (2004). Silvicultural Options for Young-Growth Douglas-Fir Forests: The Capitol Forest Study – Establishment and First Results. General Technical Report PNW-GTR-598. Portland, OR. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 110 pp. · DOI
- Finney, M. A. (1998). FARSITE: Fire Area Simulator-model development and evaluation. Research Paper RMRS-RP-4. Ogden, UT. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 47 pp. · DOI · Paper page
- Means, 2000, Predicting forest stand characteristics with airborne laser scanning lidar, Photogrammetric Engineering and Remote Sensing, 66, 1367
- Michaelsen, 1987, Cross-validation in statistical climate forecast models, Journal of Climate and Applied Meteorology, 26, 1589, 10.1175/1520-0450(1987)026<1589:CVISCF>2.0.CO;2 · DOI
- Morsdorf, 2004, LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management, Remote Sensing of Environment, 92, 353, 10.1016/j.rse.2004.05.013 · DOI
- Naesset, 1997, Determination of mean tree height of forest stands using airborne laser scanner data, ISPRS Journal of Photogrammetry and Remote Sensing, 52, 49, 10.1016/S0924-2716(97)83000-6 · DOI
- Naesset, 1997, Estimating timber volume of forest stands using airborne laser scanner data, Remote Sensing of Environment, 61, 246, 10.1016/S0034-4257(97)00041-2 · DOI
- Naesset, 2001, Estimating tree heights and number of stems in young forest stands using airborne laser scanner data, Remote Sensing of Environment, 78, 328, 10.1016/S0034-4257(01)00228-0 · DOI
- Naesset, 2002, Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserve, Remote Sensing of Environment, 79, 105, 10.1016/S0034-4257(01)00243-7 · DOI
- Reutebuch, 2003, Accuracy of a high-resolution LIDAR terrain model under a conifer forest canopy, Canadian Journal of Remote Sensing, 29, 527, 10.5589/m03-022 · DOI
- Riano, 2004, Generation of crown bulk density for Pinus sylvestris from LIDAR, Remote Sensing of Environment, 92, 345, 10.1016/j.rse.2003.12.014 · DOI
- Scott, J., & Reinhardt, E. (2001). Assessing crown fire potential by linking models of surface and crown fire behavior. Research Paper RMRS-RP-29. Fort Collins, CO. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 59 pp. · DOI
- Teck, 1996, Forecasting ecosystems with the Forest Vegetation Simulator, Journal of Forestry, 94, 7, 10.1093/jof/94.12.7 · DOI
- Wykoff, W. R., Crookston, N. L., & Stage, A. R. (1982). User’s guide to the Stand Prognosis Model. General Technical Report INT-133. Ogden, UT. U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 112 pp. · DOI
Cited by
Sorted by citations
Fire as a fundamental ecological process: Research advances and frontiers
McLauchlan, K. K., Higuera, P. E., Miesel, J., Rogers, B. M., Schweitzer, J., Shuman, J. K., Tepley, A. J., Varner, J. M., Veblen, T. T., Adalsteinsson, S. A., et al. (2020) · Journal of Ecology · doi:10.1111/1365-2745.13403 · Cited by 729
“For example, measurement of aerial fuels has been revolutionized with LiDAR methods that remotely capture canopy, crown, leaf shape and spatial arrangement, and provide estimates of fuel mass (Andersen, McGaughey, & Reutebuch, 2005).”
Metadata
- Authors
- Andersen, H.-E., McGaughey, R. J., & Reutebuch, S. E.
- Affiliations
- University of Washington (US)
- US Forest Service (US)
- Corresponding author
- Andersen, Hans-Erik
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2005-02
- Volume
- 94
- Issue
- 4
- Pages
- 441-449
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2151549592
- Cited by
- 579
- References
- 0
- Citations by year
- 2026: 22 · 2025: 20 · 2024: 22 · 2023: 25 · 2022: 27 · 2021: 32 · 2020: 39 · 2019: 30 · 2018: 29 · 2017: 35 · 2016: 35 · 2015: 30 · 2014: 24 · 2013: 31 · 2012: 26
- FWCI
- 26.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Remote Sensing of Environment (publishedVersion)
- Funders
- University of Washington
- U.S. Forest Service
- Pacific Northwest Research Station
- Topics
- Life Sciences › Agricultural and Biological Sciences › Forestry › Remote Sensing and LiDAR Applications
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest ecology and management
- Keywords
- canopy bulk density, canopy height, canopy base height, airborne laser scanning, LiDAR, fuel mapping, regression prediction model, forest structure
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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