The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA
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Citations
Cites
Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Lightweight unmanned aerial vehicles will revolutionize spatial ecology
Anderson, K., & Gaston, K. J. (2013) · Frontiers in Ecology and the Environment · doi:10.1890/120150 · Cited by 1,397
Berni, J., Zarco-Tejada, P. J., Suarez, L., & Fereres, E. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2010457 · Cited by 1,308
Topographic structure from motion: a new development in photogrammetric measurement
Fonstad, M. A., Dietrich, J. T., Courville, B. C., Jensen, J. L., & Carbonneau, P. E. (2013) · Earth Surface Processes and Landforms · doi:10.1002/esp.3366 · Cited by 1,126
Forest health and global change
Trumbore, S., Brando, P., & Hartmann, H. (2015) · Science · doi:10.1126/science.aac6759 · Cited by 1,042
Accuracy Assessment: A User's Perspective
Story, M., & Congalton, R. G. (1983) · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) · Cited by 1,040
A progressive morphological filter for removing nonground measurements from airborne LIDAR data
Zhang, K., Chen, S.-C., Whitman, D., Shyu, M.-L., Yan, J., & Zhang, C. (2003) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2003.810682 · Cited by 1,026
Watts, A. C., Ambrosia, V. G., & Hinkley, E. A. (2012) · Remote Sensing · doi:10.3390/rs4061671 · Cited by 927
Zarco-Tejada, P. J., González-Dugo, V., & Berni, J. A. J. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.10.007 · Cited by 915
Hyyppa, J., Kelle, O., Lehikoinen, M., & Inkinen, M. (2001) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.921414 · Cited by 752
Cited by
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Xie, Y., Tian, J., & Zhu, X. X. (2020) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2019.2937630 · Cited by 482
Keenan, T. F., & Williams, C. A. (2018) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-102017-030204 · Cited by 423
Barbedo, J. (2019) · Drones · doi:10.3390/drones3020040 · Cited by 391
Drones for Conservation in Protected Areas: Present and Future
Jiménez López, J., & Mulero-Pázmány, M. (2019) · Drones · doi:10.3390/drones3010010 · Cited by 300
Cao, J., Leng, W., Liu, K., Liu, L., He, Z., & Zhu, Y. (2018) · Remote Sensing · doi:10.3390/rs10010089 · Cited by 265
Metadata
- Authors
- Sankey, T., Donager, J., McVay, J., & Sankey, J. B.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 195
- Pages
- 30-43
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2606100861
- Cited by
- 447
- References
- 56
- FWCI
- 24.25
- 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: UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA. https://app.cochat.ai/papers/10.1016/j.rse.2017.04.007
- The paper
- Sankey, T., Donager, J., McVay, J., & Sankey, J. B. (2017). UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2017.04.007
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.