This paper illustrates a 3D survey performed at the well-known “Villa di Domiziano” site in the Circeo National Park using the new Leica Mobile Mapping System (MMS) BLK2GO. The project’s aim is to identify and document earthwork anomalies, a type of evidence extremely frequent in the Villa, but difficultly traceable both for site’s extension and for the presence of mixed vegetation, composed of dense foliage of maritime pines and brushwood. This research, realized within the project "The Domitian Villa: An Imperial Residence in Sabaudia, Italy", winner of the 2019 Grant for the "Shelby White and Leon Levy" program, aims to create a multidisciplinary documentation of the entire Villa of Domitian, starting from the extraction of Digital Terrain Model (DTM). The Test-case was an opportunity to test both practicality and accuracy of new Leica BLK2GO with the ultimate aim of identifying and documenting earthwork anomalies and comparing obtained data with those coming from a previous UAV-LiDAR survey.
BLK2GO for DTM generation in highly vegetated area for detecting and documenting archaeological earthwork anomalies
M. Limongiello
Methodology
;
2020-01-01
Abstract
This paper illustrates a 3D survey performed at the well-known “Villa di Domiziano” site in the Circeo National Park using the new Leica Mobile Mapping System (MMS) BLK2GO. The project’s aim is to identify and document earthwork anomalies, a type of evidence extremely frequent in the Villa, but difficultly traceable both for site’s extension and for the presence of mixed vegetation, composed of dense foliage of maritime pines and brushwood. This research, realized within the project "The Domitian Villa: An Imperial Residence in Sabaudia, Italy", winner of the 2019 Grant for the "Shelby White and Leon Levy" program, aims to create a multidisciplinary documentation of the entire Villa of Domitian, starting from the extraction of Digital Terrain Model (DTM). The Test-case was an opportunity to test both practicality and accuracy of new Leica BLK2GO with the ultimate aim of identifying and documenting earthwork anomalies and comparing obtained data with those coming from a previous UAV-LiDAR survey.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
