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Article

The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England

1
Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, UK
2
Department of Surveying Engineering, College of Engineering, University of Baghdad, Baghdad 10001, Iraq
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2021, 10(1), 41; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010041
Received: 8 December 2020 / Revised: 13 January 2021 / Accepted: 16 January 2021 / Published: 19 January 2021
(This article belongs to the Special Issue Cultural Heritage Mapping and Observation)
With the increasing demands to use remote sensing approaches, such as aerial photography, satellite imagery, and LiDAR in archaeological applications, there is still a limited number of studies assessing the differences between remote sensing methods in extracting new archaeological finds. Therefore, this work aims to critically compare two types of fine-scale remotely sensed data: LiDAR and an Unmanned Aerial Vehicle (UAV) derived Structure from Motion (SfM) photogrammetry. To achieve this, aerial imagery and airborne LiDAR datasets of Chun Castle were acquired, processed, analyzed, and interpreted. Chun Castle is one of the most remarkable ancient sites in Cornwall County (Southwest England) that had not been surveyed and explored by non-destructive techniques. The work outlines the approaches that were applied to the remotely sensed data to reveal potential remains: Visualization methods (e.g., hillshade and slope raster images), ISODATA clustering, and Support Vector Machine (SVM) algorithms. The results display various archaeological remains within the study site that have been successfully identified. Applying multiple methods and algorithms have successfully improved our understanding of spatial attributes within the landscape. The outcomes demonstrate how raster derivable from inexpensive approaches can be used to identify archaeological remains and hidden monuments, which have the possibility to revolutionize archaeological understanding. View Full-Text
Keywords: archaeology; automatic detection; Chun Castle; drone; hidden features; Iron Age; LiDAR; SfM-photogrammetry; remote sensing; RRIMs; visualization methods archaeology; automatic detection; Chun Castle; drone; hidden features; Iron Age; LiDAR; SfM-photogrammetry; remote sensing; RRIMs; visualization methods
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MDPI and ACS Style

Kadhim, I.; Abed, F.M. The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. ISPRS Int. J. Geo-Inf. 2021, 10, 41. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010041

AMA Style

Kadhim I, Abed FM. The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. ISPRS International Journal of Geo-Information. 2021; 10(1):41. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010041

Chicago/Turabian Style

Kadhim, Israa, and Fanar M. Abed 2021. "The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England" ISPRS International Journal of Geo-Information 10, no. 1: 41. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010041

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