The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Using lightweight unmanned aerial vehicles to monitor tropical forest recovery
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
Linear Mixed-Effects Models using 'Eigen' and S4
Bates, D. M., Maechler, M., Bolker, B. M., & Walker, S. C. (2015) · Cited by 5,924
Model Selection and Inference: A Practical Information-Theoretic Approach
Strawderman, R. L., Burnham, K. P., & Anderson, D. R. (2000) · Journal of the American Statistical Association · doi:10.2307/2669574 · Cited by 4,194
Procedures for Detecting Outlying Observations in Samples
Grubbs, F. E. (1969) · Technometrics · doi:10.1080/00401706.1969.10490657 · Cited by 4,105
Tree allometry and improved estimation of carbon stocks and balance in tropical forests
Chave, J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., Fölster, H., Fromard, F., Higuchi, N., Kira, T., et al. (2005) · Oecologia · doi:10.1007/s00442-005-0100-x · Cited by 3,533
MacArthur, R. H., & MacArthur, J. W. (1961) · Ecology · doi:10.2307/1932254 · Cited by 2,528
Model Selection and Inference: A Practical Information-Theoretic Approach
Beier, P., Burnham, K. P., & Anderson, D. R. (2001) · The Journal of Wildlife Management · doi:10.2307/3803117 · Cited by 2,440
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
Cited by
Structure from motion photogrammetry in physical geography
Smith, M. W., Carrivick, J. L., & Quincey, D. J. (2016) · Progress in Physical Geography: Earth and Environment · doi:10.1177/0309133315615805 · Cited by 772
Dandois, J., Olano, M., & Ellis, E. (2015) · Remote Sensing · doi:10.3390/rs71013895 · Cited by 435
Self-citationLinking plant phenology to conservation biology
Morellato, L. P. C., Alberton, B., Alvarado, S. T., Borges, B., Buisson, E., Camargo, M. G. G., Cancian, L. F., Carstensen, D. W., Escobar, D. F. E., Leite, P. T. P., et al. (2016) · Biological Conservation · doi:10.1016/j.biocon.2015.12.033 · Cited by 423
Cunliffe, A. M., Brazier, R. E., & Anderson, K. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.05.019 · Cited by 365
Remote sensing in forestry: current challenges, considerations and directions
Fassnacht, F. E., White, J. C., Wulder, M. A., & Næsset, E. (2024) · Forestry: An International Journal of Forest Research · doi:10.1093/forestry/cpad024 · Cited by 353
Metadata
- Authors
- Zahawi, R. A., Dandois, J. P., Holl, K. D., Nadwodny, D., Reid, J. L., & Ellis, E. C.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 186
- Pages
- 287-295
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W2002008272
- Cited by
- 270
- References
- 48
- FWCI
- 19.07
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Using lightweight unmanned aerial vehicles to monitor tropical forest recovery. https://app.cochat.ai/papers/10.1016/j.biocon.2015.03.031
- The paper
- Zahawi, R. A., Dandois, J. P., Holl, K. D., Nadwodny, D., Reid, J. L., & Ellis, E. C. (2015). Using lightweight unmanned aerial vehicles to monitor tropical forest recovery. Biological Conservation. https://doi.org/10.1016/j.biocon.2015.03.031
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.
