Social and Behavioral Sciences Commons^™

The Integration Of Lidar And Legacy Datasets Provides Improved Explanations For The Spatial Patterning Of Shell Rings In The American Southeast, Dylan S. Davis, Robert Dinapoli, Matthew Sanger, Carl P. Lipo

Anthropology Faculty Scholarship

Archaeologists have struggled to combine remotely sensed datasets with preexisting information for landscape-level analyses. In the

American Southeast, for example, analyses of lidar data using automated feature extraction algorithms have led to the identification of over

40 potential new pre-European-contact Native American shell ring deposits in Beaufort County, South Carolina. Such datasets are vital for understanding settlement distributions, yet a comprehensive assessment requires remotely sensed and previously surveyed archaeological data. Here, we use legacy data and airborne lidar-derived information to conduct a series of point pattern analyses using spatial models that we designed to assess the factors that best explain …

The Integration Of Lidar And Legacy Datasets Provides Improved Explanations For The Spatial Patterning Of Shell Rings In The American Southeast, Dylan S. Davis, Robert Dinapoli, Matthew Sanger, Carl Lipo

Anthropology Datasets

Archaeologists have struggled to combine remotely sensed datasets with preexisting information for landscape-level analyses. In the American Southeast, for example, analyses of lidar data using automated feature extraction algorithms have led to the identification of over 40 potential new pre-European-contact Native American shell ring deposits in Beaufort County, South Carolina. Such datasets are vital for understanding settlement distributions, yet a comprehensive assessment requires remotely sensed and previously surveyed archaeological data. Here, we use legacy data and airborne lidar-derived information to conduct a series of point pattern analyses using spatial models that we designed to assess the factors that best explain …

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 …

Unveiling The Past: Using Lidar To Discover Lost Archaeological Features In The American Southeast, Dylan S. Davis

GIS Day

Artificial mounds and rings are morphologically heterogeneous. While they share many compositional traits, their outlines on landscapes widely vary across geographic regions. As such, automated identification of these deposits requires the use of algorithms that are capable of evaluating a range of criteria and assessing objects that fall within acceptable ranges for each analyzed attribute. Object-based image analysis (OBIA) is one solution to this problem. Here, I develop a combined OBIA method utilizing two different approaches – multiresolution segmentation and template matching – in order to locate these features semi-automatically. The results of this study indicate the success of this …