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Airborne LiDAR, archaeology, and the ancient Maya landscape at Caracol, Belize
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LiDAR successes in archaeology, such as for Mayan research, have come from high-resolution digital elevation models that reveal micro-topography otherwise hidden by vegetation.
“LiDAR successes in archaeology, such as for Mayan research, have come from high-resolution digital elevation models of archaeological sites that reveal micro-topography otherwise hidden by vegetation (Chase et al., 2011).”
From Predicting the geographic distribution of ancient amazonian archaeological sites with machine learning (2023) · cites this paper as Chase et al., 2011
LiDAR mapping of ancient archaeological features hidden under forest canopy has proven to be an important discovery tool.
“LiDAR mapping of ancient archaeological features hidden under forest canopy has proven to be an important discovery tool.”
From Predicting the geographic distribution of ancient amazonian archaeological sites with machine learning (2023) · cites this paper as Chase et al., 2011
Citations
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Research works printed but not linked: 45
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Cited by
Sorted by citations
Romero, B. E., & Bray, T. L. (2014) · World Archaeology · doi:10.1080/00438243.2014.890910 · Cited by 11
Walker, R. S., Ferguson, J. R., Olmeda, A., Hamilton, M. J., Elghammer, J., & Buchanan, B. (2023) · PeerJ · doi:10.7717/peerj.15137 · Cited by 11
Rodríguez Osorio, D., Giraldo, S., Mazuera, E., Burbano, A., & Figueredo, E. (2023) · Latin American Antiquity · doi:10.1017/laq.2022.91 · Cited by 6
Garzón-Oechsle, A., Johanson, E., Nagarajan, S., & Martínez, V. (2025) · Journal of Field Archaeology · doi:10.1080/00934690.2024.2439223 · Cited by 3
Metadata
- Authors
- Chase, A. F., Chase, D. Z., Weishampel, J. F., Drake, J. B., Shrestha, R. L., Slatton, K. C., Awe, J. J., & Carter, W. E.
- Venue
- Journal of Archaeological Science
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 38
- Issue
- 2
- Pages
- 387-398
- ISSN
- 0305-4403
- Cited by
- 424
- References
- 0
- Language
- en
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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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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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