The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds
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Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
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
Turner, I. L., Harley, M. D., & Drummond, C. D. (2016) · Coastal Engineering · doi:10.1016/j.coastaleng.2016.03.011 · Cited by 455
Using low-cost drones to map malaria vector habitats
Hardy, A., Makame, M., Cross, D., Majambere, S., & Msellem, M. (2017) · Parasites & Vectors · doi:10.1186/s13071-017-1973-3 · Cited by 129
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery
Carrasco-Escobar, G., Manrique, E., Ruiz-Cabrejos, J., Saavedra, M., Alava, F., Bickersmith, S., Prussing, C., Vinetz, J. M., Conn, J. E., Moreno, M., et al. (2019) · PLOS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0007105 · Cited by 126
Metadata
- Authors
- Ouédraogo, M. M., Degré, A., Debouche, C., & Lisein, J.
- Venue
- Geomorphology
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 214
- Pages
- 339-355
- ISSN
- 0169-555X (ISSN-L)
- OpenAlex
- W1971575659
- Cited by
- 237
- References
- 1
- FWCI
- 41.68
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds. https://app.cochat.ai/papers/10.1016/j.geomorph.2014.02.016
- The paper
- Ouédraogo, M. M., Degré, A., Debouche, C., & Lisein, J. (2014). The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds. Geomorphology. https://doi.org/10.1016/j.geomorph.2014.02.016
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.
