The DOI matches its Crossref record.
Interpreting cultural remains in airborne laser scanning generated digital terrain models: effects of size and shape on detection success rates
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In the citing paper
“Previous studies of remote survey note that archaeological sites located at high elevations and consisting of large geometric shapes—such as architectural structures—are much more likely to be detected than sites which lack these characteristics [54, 55].”
From Unstructured satellite survey detects up to 20% of archaeological sites in coastal valleys of southern Peru (2024) · cites this paper as [54]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 20
- Axelsson, 2000, DEM generation from laser scanner data using adaptive TIN models, International Archives of Photogrammetry and Remote Sensing, 33, 111
- Bennett, 2012, A comparison of visualization techniques for models created from airborne laser scanned data, Archaeological Prospection, 19, 41, 10.1002/arp.1414 · DOI
- Bollandsås, 2012, Using airborne small-footprint laser scanner data for detection of cultural remains in forests: an experimental study of the effects of pulse density and DTM smoothing, Journal of Archaeological Science, 39, 2733, 10.1016/j.jas.2012.04.026 · DOI
- Challis, 2011, A generic toolkit for the visualization of archaeological features on airborne LiDAR elevation data, Archaeological Prospection, 18, 279, 10.1002/arp.421 · DOI
- Chase, 2011, Airborne LiDAR, archaeology and the ancient Maya landscape at Caracol, Belize, Journal of Archaeological Science, 38, 387, 10.1016/j.jas.2010.09.018 · DOI · Paper page
- Crow, 2007, Woodland vegetation and its implications for archaeological survey using LiDAR, Forestry, 80, 241, 10.1093/forestry/cpm018 · DOI
- Devereux, 2005, The potential of airborne lidar for detection of archaeological features under woodland canopies, Antiquity, 79, 648, 10.1017/S0003598X00114589 · DOI
- Devereux, 2008, Visualisation of LiDAR terrain models for archaeological feature detection, Antiquity, 82, 470, 10.1017/S0003598X00096952 · DOI
- Doneus, 2006, Full-waveform airborne laser scanning as a tool for archaeological reconnaissance, vol. 1568, 99
- Gallagher, 2008, Using LiDAR to detect cultural resources in a forested environment: an example from Isle Royale National Park, Michigan, USA, Archaeological Prospection, 15, 187, 10.1002/arp.333 · DOI
- Hesse, 2010, LiDAR-derived Local Relief Models – a new tool for archaeological prospection, Archaeological Prospection, 17, 67, 10.1002/arp.374 · DOI
- Kokalj, 2011, Application of the sky-view factor for the visualization of historic landscape features in lidar derived relief models, Antiquity, 85, 263, 10.1017/S0003598X00067594 · DOI
- Ladefoged, 2011, Agricultural potential and actualized development in Hawai'i: an airborne LiDAR survey of the leeward Kohala field system (Hawai'I Island), Journal of Archaeological Science, 38, 3605, 10.1016/j.jas.2011.08.031 · DOI
- Magnussen, 2010, Reliability of LiDAR derived predictors of forest inventory attributes: a case study with Norway spruce, Remote Sensing of Environment, 114, 700, 10.1016/j.rse.2009.11.007 · DOI
- Millard, 2009, Detection of a low-relief 18th-century British siege trench using LiDAR vegetation penetration capabilities at Fort Beauséjour-Fort Cumberland national historic site, Canada, Geoarchaeology: An International Journal, 24, 576, 10.1002/gea.20281 · DOI
- Nelder, 1972, Generalized linear models, Journal of Royal Statistical Society, Series A, 135, 370, 10.2307/2344614 · DOI
- Risbøl, 2006, Airborne laser scanning of cultural remains in forests: some preliminary results from a Norwegian project, vol. 1568, 107
- Stabbetorp, 2007, Layers of the past: a theory and method for historical landscape analysis, Landscape Research, 32, 463, 10.1080/01426390701449844 · DOI
- Štular, 2012, Visualization of lidar-derived relief models for detection of archaeological features, Journal of Archaeological Science, 39, 3354, 10.1016/j.jas.2012.05.029 · DOI
- Weishampel, 2011, Detection and morphologic analysis of potential below-canopy cave openings in the karst landscape around the Maya polity of Caracol using airborne LiDAR, Journal of Cave and Karst Studies, 73, 187, 10.4311/2010EX0179R1 · DOI
Cited by
Sorted by citations
Snyder, T. J., & Haas, R. (2024) · PLOS One · doi:10.1371/journal.pone.0292272 · Cited by 8
Metadata
- Authors
- Risbøl, O., Bollandsås, O. M., Nesbakken, A., Ørka, H. O., Næsset, E., & Gobakken, T.
- Venue
- Journal of Archaeological Science
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 40
- Issue
- 12
- Pages
- 4688-4700
- ISSN
- 0305-4403
- Cited by
- 58
- References
- 0
- Language
- en
- Funders
- The Norwegian Forest
- Landscape Institute
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.
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