Mapping heterogeneous buried archaeological features using multisensor data from unmanned aerial vehicles

Brooke, C. and Clutterbuck, B. ORCID: 0000-0003-3239-8220, 2020. Mapping heterogeneous buried archaeological features using multisensor data from unmanned aerial vehicles. Remote Sensing, 12 (1): 41. ISSN 2072-4292

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Abstract

There is a long history of the use of aerial imagery for archaeological research, but the application of multisensor image data has only recently been facilitated by the development of unmanned aerial vehicles (UAVs). Two archaeological sites in the East Midlands U.K. that differ in age and topography were selected for survey using multisensor imaging from a fixed-wing UAV. The aim of this study was to determine optimum methodology for the use of UAVs in examining archaeological sites that have no obvious surface features and examine issues of ground control target design, thermal effects, image processing and advanced filtration. The information derived from the range of sensors used in this study enabled interpretation of buried archaeology at both sites. For any archaeological survey using UAVs, the acquisition of visible colour (RGB), multispectral, and thermal imagery as a minimum are advised, as no single technique is sufficient to attempt to reveal the maximum amount of potential information.

Item Type: Journal article
Description: In Special Issue: "2nd edition Advances in remote sensing for archaeological heritage".
Publication Title: Remote Sensing
Creators: Brooke, C. and Clutterbuck, B.
Publisher: MDPI AG
Date: 2020
Volume: 12
Number: 1
ISSN: 2072-4292
Identifiers:
NumberType
10.3390/rs12010041DOI
1260410Other
Rights: © 2020 MDPI AG. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Animal, Rural and Environmental Sciences
Depositing User: Linda Sullivan
Date Added: 20 Jan 2020 16:33
Last Modified: 20 Jan 2020 16:34
URI: http://irep.ntu.ac.uk/id/eprint/39019

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