Airborne LiDAR for the detection of archaeological vegetation marks using biomass as a proxy

Stott, D.; Boyd, Doreen S.; Beck, A.; Cohn, A.G.

Abstract

In arable landscapes, the airborne detection of archaeological features is often reliant on using the properties of the vegetation cover as a proxy for sub-surface features in the soil. Under the right conditions, the formation of vegetation marks allows archaeologists to identify and interpret archaeological features. Using airborne Laser Scanning, based on the principles of Light Detection and Ranging (LiDAR) to detect these marks is challenging, particularly given the difficulties of resolving subtle changes in a low and homogeneous crop with these sensors. In this paper, an experimental approach is adopted to explore how these marks could be detected as variations in canopy biomass using both range and full waveform LiDAR data. Although some detection was achieved using metrics of the full waveform data, it is the novel multi-temporal method of using discrete return data to detect and characterise archaeological vegetation marks that is offered for further consideration. This method was demonstrated to be applicable over a range of capture conditions, including soils deemed as difficult (i.e., clays and other heavy soils), and should increase the certainty of detection when employed in the increasingly multi-sensor approaches to heritage prospection and management.

Citation

Stott, D., Boyd, D. S., Beck, A., & Cohn, A. (2015). Airborne LiDAR for the detection of archaeological vegetation marks using biomass as a proxy. Remote Sensing, 7(2), https://doi.org/10.3390/rs70201594

• Journal Article Type: Article
• Publication Date: Feb 1, 2015
• Deposit Date: Jun 25, 2015
• Publicly Available Date: Jun 25, 2015
• Journal: Remote Sensing
• Electronic ISSN: 2072-4292
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 2
• DOI: https://doi.org/10.3390/rs70201594
• Keywords: archaeology; Airborne LiDAR/Laser Scanning; vegetation marks; arable
• Public URL: https://nottingham-repository.worktribe.com/output/985242
• Publisher URL: http://www.mdpi.com/2072-4292/7/2/1594