The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Lidar remote sensing of above‐ground biomass in three biomes
Abstract
Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high biomass forests is difficult for conventional optical and radar sensors. Lidar (li ght d etection and r anging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest biomass. In this study, we compare the relationships between lidar‐measured canopy structure and coincident field measurements of above‐ground biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above‐ground biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
On the relation between NDVI, fractional vegetation cover, and leaf area index
Carlson, T. N., & Ripley, D. A. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(97)00104-1 · Cited by 3,125
(1985) · Medical Entomology and Zoology · Cited by 933
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
Self-citationInvariant scaling relations across tree-dominated communities
Enquist, B. J., & Niklas, K. J. (2001) · Nature · doi:10.1038/35070500 · Cited by 654
Turner, D. P., Cohen, W. B., Kennedy, R. E., Fassnacht, K. S., & Briggs, J. M. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(99)00057-7 · Cited by 636
Self-citationRunning, S. W., Baldocchi, D. D., Turner, D. P., Gower, S. T., Bakwin, P. S., & Hibbard, K. A. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(99)00061-9 · Cited by 629
Self-citationEstimation of tropical forest structural characteristics using large-footprint lidar
Drake, J. B., Dubayah, R. O., Clark, D. B., Knox, R. G., Blair, J. B., Hofton, M. A., Chazdon, R. L., Weishampel, J. F., & Prince, S. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00281-4 · Cited by 606
Surface Lidar Remote Sensing of Basal Area and Biomass in Deciduous Forests of Eastern Maryland, USA
Lefsky, M. A., Harding, D., Cohen, W. B., Parker, G., & Shugart, H. H. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00071-6 · Cited by 587
Self-citationMeans, J. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00091-1 · Cited by 503
Blair, J. B., Rabine, D. L., & Hofton, M. A. (1999) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/s0924-2716(99)00002-7 · Cited by 485
Cited by
Mapping forest canopy height globally with spaceborne lidar
Simard, M., Pinto, N., Fisher, J. B., & Baccini, A. (2011) · Journal of Geophysical Research · doi:10.1029/2011jg001708 · Cited by 1,292
High-resolution forest carbon stocks and emissions in the Amazon
Asner, G. P., Powell, G. V. N., Mascaro, J., Knapp, D. E., Clark, J. K., Jacobson, J., Kennedy-Bowdoin, T., Balaji, A., Paez-Acosta, G., Victoria, E., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004875107 · Cited by 687
Estimates of forest canopy height and aboveground biomass using ICESat
Lefsky, M. A., Harding, D. J., Keller, M., Cohen, W. B., Carabajal, C. C., Del Bom Espirito‐Santo, F., Hunter, M. O., & de Oliveira, R. (2005) · Geophysical Research Letters · doi:10.1029/2005gl023971 · Cited by 666
Self-citationUAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA
Sankey, T., Donager, J., McVay, J., & Sankey, J. B. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.04.007 · Cited by 447
Frolking, S., Palace, M. W., Clark, D. B., Chambers, J. Q., Shugart, H. H., & Hurtt, G. C. (2009) · Journal of Geophysical Research: Biogeosciences · doi:10.1029/2008jg000911 · Cited by 428
Metadata
- Authors
- Lefsky, M. A., Cohen, W. B., Harding, D. J., Parker, G. G., Acker, S. A., & Gower, S. T.
- Venue
- Global Ecology and Biogeography
- Publisher
- Wiley
- Published
- 2002-09
- Volume
- 11
- Issue
- 5
- Pages
- 393-399
- ISSN
- 1466-822X (ISSN-L)
- 1466-8238
- OpenAlex
- W163856548
- Cited by
- 548
- References
- 13
- FWCI
- 8.81
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lidar remote sensing of above‐ground biomass in three biomes. https://app.cochat.ai/papers/10.1046/j.1466-822x.2002.00303.x
- The paper
- Lefsky, M. A., Cohen, W. B., Harding, D. J., Parker, G. G., Acker, S. A., & Gower, S. T. (2002). Lidar remote sensing of above‐ground biomass in three biomes. Global Ecology and Biogeography. https://doi.org/10.1046/j.1466-822x.2002.00303.x
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.
