The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Fusion of LiDAR and imagery for estimating forest canopy fuels
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Citations
Cites
Statistical and structural approaches to texture
Haralick, R. M. (1979) · Proceedings of the IEEE · doi:10.1109/proc.1979.11328 · Cited by 5,759
Applied Linear Regression Models
(1997) · Technometrics · doi:10.1080/00401706.1997.10485142 · Cited by 4,615
Fire Ecology of Pacific Northwest Forests
Agee, J. K. (2013) · doi:10.2307/jj.41003522 · Cited by 2,011
Generalized Collinearity Diagnostics
Fox, J., & Monette, G. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10475190 · Cited by 1,881
Lidar Remote Sensing for Ecosystem Studies
LEFSKY, M. A., COHEN, W. B., PARKER, G. G., & HARDING, D. J. (2002) · BioScience · doi:10.1641/0006-3568(2002)052[0019:lrsfes]2.0.co;2 · Cited by 1,824
FARSITE: Fire Area Simulator-model development and evaluation
Finney, M. A. (1998) · doi:10.2737/rmrs-rp-4 · Cited by 1,617
Subset Selection in Regression
(2003) · Technometrics · doi:10.1198/tech.2003.s144 · Cited by 1,463
LiDAR remote sensing of forest structure
Lim, K., Treitz, P., Wulder, M., St-Onge, B., & Flood, M. (2003) · Progress in Physical Geography: Earth and Environment · doi:10.1191/0309133303pp360ra · Cited by 1,103
Spring: Integrating remote sensing and gis by object-oriented data modelling
Câmara, G., Souza, R. C. M., Freitas, U. M., & Garrido, J. (1996) · Computers & Graphics · doi:10.1016/0097-8493(96)00008-8 · Cited by 895
Correcting for Bias in Log‐Transformed Allometric Equations
Sprugel, D. G. (1983) · Ecology · doi:10.2307/1937343 · Cited by 884
Cited by
Development of a UAV-LiDAR System with Application to Forest Inventory
Wallace, L., Lucieer, A., Watson, C., & Turner, D. (2012) · Remote Sensing · doi:10.3390/rs4061519 · Cited by 710
Review of optical-based remote sensing for plant trait mapping
Homolová, L., Malenovský, Z., Clevers, J. G. P. W., García-Santos, G., & Schaepman, M. E. (2013) · Ecological Complexity · doi:10.1016/j.ecocom.2013.06.003 · Cited by 437
Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences
Eitel, J. U. H., Höfle, B., Vierling, L. A., Abellán, A., Asner, G. P., Deems, J. S., Glennie, C. L., Joerg, P. C., LeWinter, A. L., Magney, T. S., et al. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.08.018 · Cited by 319
A Review of the Applications of Remote Sensing in Fire Ecology
Szpakowski, D., & Jensen, J. (2019) · Remote Sensing · doi:10.3390/rs11222638 · Cited by 292
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
Metadata
- Authors
- Erdody, T. L., & Moskal, L. M.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 114
- Issue
- 4
- Pages
- 725-737
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2001618165
- Cited by
- 270
- References
- 60
- FWCI
- 17.66
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Fusion of LiDAR and imagery for estimating forest canopy fuels. https://app.cochat.ai/papers/10.1016/j.rse.2009.11.002
- The paper
- Erdody, T. L., & Moskal, L. M. (2010). Fusion of LiDAR and imagery for estimating forest canopy fuels. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2009.11.002
Data sources
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.
