2016
DOI: 10.1007/978-3-319-40658-9_4
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Applying UAS Photogrammetry to Analyze Spatial Patterns of Indigenous Settlement Sites in the Northern Dominican Republic

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Cited by 13 publications
(15 citation statements)
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“…Poor weather such as rain or high winds, high and thick vegetation restrict recording possibilities, and flight regulations have increased, which vary by country. The method was tested initially at El Manantial, a large open site in the Dominican province of Montecristi, to compare the interpretation from field survey and satellite imagery with the topographic outcome from the drone flights [25].…”
Section: Methodsmentioning
confidence: 99%
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“…Poor weather such as rain or high winds, high and thick vegetation restrict recording possibilities, and flight regulations have increased, which vary by country. The method was tested initially at El Manantial, a large open site in the Dominican province of Montecristi, to compare the interpretation from field survey and satellite imagery with the topographic outcome from the drone flights [25].…”
Section: Methodsmentioning
confidence: 99%
“…Over several years the approximate size of a number of sites has been recorded and a small number of samples collected [15]. This approach has provided the opportunity to study location, distribution of material, and the potential interrelations between sites [7,10,15,24,25]. Many of the settlements recorded are positioned on mountain tops and plateaus of the Cordillera Septentrional, at altitudes between 50 and 700 m above sea level.…”
Section: Objectivesmentioning
confidence: 99%
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“…The flexibility of UAV systems, in particular their utility when used alongside other datasets as part of more complex and targeted research projects, has been visible in a range of recent projects including Sonnemann et al's [20,21] study of Amerindian settlement patterns and social structures, and Jorayev et al's [22] recording of the Olduvai landscape. Both projects illustrated the utility of UAV platforms in remote and difficult-to-reach areas where other data sources or techniques were not available.…”
Section: Uav Survey Image Classification and Assessmentmentioning
confidence: 99%