The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Lidar Remote Sensing for Forestry
Open accessAbstract
Lidar remote sensing, which directly measures vertical forest structure, is a breakthrough technology with many forestry applications. Using the laser light equivalent of radar, lidar instruments accurately estimate such important forest structural characteristics as canopy heights, stand volume, basal area, and above-ground biomass. And because subcanopy vegetation height is a function of species composition, climate, and site quality, the results can be used for land cover classification, habitat mapping, and forest wildlife management.
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Citations
Cites
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
Volumetric lidar return patterns from an old-growth tropical rainforest canopy
Weishampel, J. F., Blair, J. B., Knox, R. G., Dubayah, R., & Clark, D. B. (2000) · International Journal of Remote Sensing · doi:10.1080/014311600210939 · Cited by 105
Self-citationLand Surface Characterization Using Lidar Remote Sensing
Dubayah, R., Knox, R. G., Hofton, M. A., Blair, J. B., & Drake, J. B. (2000) · CRC Press eBooks · doi:10.1201/9781482283129-16 · Cited by 69
Self-citation
Cited by
Monitoring and estimating tropical forest carbon stocks: making REDD a reality
Gibbs, H. K., Brown, S., Niles, J. O., & Foley, J. A. (2007) · Environmental Research Letters · doi:10.1088/1748-9326/2/4/045023 · Cited by 1,653
HURTT, G. C., FROLKING, S., FEARON, M. G., MOORE, B., SHEVLIAKOVA, E., MALYSHEV, S., PACALA, S. W., & HOUGHTON, R. A. (2006) · Global Change Biology · doi:10.1111/j.1365-2486.2006.01150.x · Cited by 531
Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues
Meng, X., Currit, N., & Zhao, K. (2010) · Remote Sensing · doi:10.3390/rs2030833 · Cited by 573
Lidar: shedding new light on habitat characterization and modeling
Vierling, K. T., Vierling, L. A., Gould, W. A., Martinuzzi, S., & Clawges, R. M. (2008) · Frontiers in Ecology and the Environment · doi:10.1890/070001 · Cited by 527
Drake, J. B., Knox, R. G., Dubayah, R. O., Clark, D. B., Condit, R., Blair, J. B., & Hofton, M. (2003) · Global Ecology and Biogeography · doi:10.1046/j.1466-822x.2003.00010.x · Cited by 331
Self-citation
Metadata
- Authors
- Dubayah, R. O., & Drake, J. B.
- Venue
- Journal of Forestry
- Published
- 2000-06-01
- Volume
- 98
- Issue
- 6
- Pages
- 44-46
- ISSN
- 0022-1201 (ISSN-L)
- 1938-3746
- OpenAlex
- W600210939
- Cited by
- 640
- References
- 3
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Dubayah, R. O., & Drake, J. B. (2000). Lidar Remote Sensing for Forestry. Journal of Forestry. https://doi.org/10.1093/jof/98.6.44
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.
