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Social and Behavioral Sciences Commons

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Archaeological Anthropology

2018

Series

Remote sensing

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Survey And Insights Into Unmanned Aerial Vehicle-Based Detection And Documentation Of Clandestine Graves And Human Remains, Bryce Murray, Derek T. Anderson, Daniel J. Wescott, Robert Moorhead, Melissa F. Anderson Aug 2018

Survey And Insights Into Unmanned Aerial Vehicle-Based Detection And Documentation Of Clandestine Graves And Human Remains, Bryce Murray, Derek T. Anderson, Daniel J. Wescott, Robert Moorhead, Melissa F. Anderson

Human Biology Open Access Pre-Prints

Numerous biological and archaeological studies have demonstrated the legitimacy of remote sensing in anthropology. Herein, focus is placed on detecting and documenting terrestrial clandestine graves and surface remains (CGSR) of humans using unmanned aerial vehicles (UAVs), sensors and automatic processing algorithms. CGSR is a complex decision making under uncertainty problem that requires the identification and intelligent reasoning about direct evidence of human remains and their environmental fingerprints. As such, it is as much an engineering and geospatial problem as it is an anthropology problem. This article is a cross- disciplinary effort to survey existing work across disciplines and to provide …


Automated Mound Detection Using Lidar And Object-Based Image Analysis In Beaufort County, Sc, Carl P. Lipo, Matt Sanger, Dylan Davis Jun 2018

Automated Mound Detection Using Lidar And Object-Based Image Analysis In Beaufort County, Sc, Carl P. Lipo, Matt Sanger, Dylan Davis

Anthropology Datasets

The study of prehistoric anthropogenic mounded features– earthen mounds, shell heaps, and shell rings – in the American Southeast is stymied by the spotty distribution of systematic surveys across the region. Many extant, yet unidentified, archaeological mound features continue to evade detection due to the heavily forested canopies that occupy large areas of the region, making pedestrian surveys difficult and preventing aerial observation. The use of object-based image analysis (OBIA) as a tool for analysing light detection and ranging (LiDAR) data, however, offers an inexpensive opportunity to address this challenge. Using publicly available LiDAR data from Beaufort County, South Carolina …