2015
DOI: 10.1002/arp.1530
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Imaging the Waters of Angkor: A Method for Semi‐Automated Pond Extraction from LiDAR Data

Abstract: This article presents new archaeological data concerning the Greater Angkor region, home to successive capitals of the medieval Khmer Empire from the ninth to fifteenth centuries ad. Angkor is recognized as one of the most extensive low‐density urban complexes of the pre‐industrial world. One of the most striking features in the landscape of Angkor is the enormous assemblage of hydraulic infrastructure, including two artificial reservoirs each covering around 15 km2. However, in parallel to this massive, state… Show more

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Cited by 17 publications
(10 citation statements)
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“…2013; Doctor & Young 2013; Freeland et al . 2016; Hanus & Evans 2016) has used feature identification methodologies similar to that of this study, and a comparison between their results and ours is given in Table 7. The accuracy of this study is slightly better in comparison with de Carvalho et al .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…2013; Doctor & Young 2013; Freeland et al . 2016; Hanus & Evans 2016) has used feature identification methodologies similar to that of this study, and a comparison between their results and ours is given in Table 7. The accuracy of this study is slightly better in comparison with de Carvalho et al .…”
Section: Discussionmentioning
confidence: 99%
“…2013; Doctor & Young 2013; Freeland et al . 2016; Hanus & Evans 2016). Second, suitable agricultural land, a critical resource for Sāmoan populations, is modelled to identify locations where dryland taro cultivation would be most successful.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper surface ponds have been extracted based on a LiDAR digital elevation model with a 1m spatial resolution, obtained from CODGiK (2012). Lidar data have been used successfully by Hanus and Evans (2015) in a similar study in order to detect the medieval water reservoirs in Angkor.…”
Section: Fig 1 Location Of the Study Area (Source: Authors)mentioning
confidence: 99%
“…The DEM can also be used to provide contour lines, slope and aspect, hillshade and shaded relief, hydrological models and networks, viewsheds and line-of-sight, least-cost routes and networks, and change detection in temporally different sets of point clouds (see White 2013). Developing algorithms for visualizing features within lidar data is also a very productive research area in archaeology (e.g., Hanus and Evans 2015).…”
Section: Mapping Lidarmentioning
confidence: 99%