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Lidar interpretation of archaeological features on Dartmoor National Park

Authors :
Derry, Caroline
Publication Year :
2021
Publisher :
Archaeology Data Service, 2021.

Abstract

This project was a detailed analysis of lidar imaging to record potential archaeological features whether already known or newly recorded using freely accessible data and software. QGIS freeware was used to record the findings and the RAW lidar data was sourced primarily from the Environment Agency. Processing allowed multiple permutations of imaging to better identify subtle outlines of features. Due to the size of Dartmoor, the area was split into 18 sections when recording to make for a more manageable post project data base. By mapping all the features on a single data base it has given an incredibly powerful overview of just how busy and rich in features the whole of Dartmoor, including the hinterland is, which is just not possible in a paper account. An enormous amount of data has been created which will need to be ground truthed. The project identified previously unrecorded small settlements and extended the footprint of some of the already recorded ones. In some cases known reaves were able to be extended. It was possible to identify earlier enclosure banks which had been modified to suit the more linear enclosures of later generations and to locate abandoned farmsteads by subtle banking. A previously unknown iron age hill enclosure was identified which has had a preliminary survey conducted to confirm its age. Dartmoor is too large an area for one person to conduct ground truthing over the entire moor so it is hoped that gradually over time people will become aware of this project and the aim is to eventually recruit volunteers who would like to visit sites and report back as to the accuracy of the findings. The data can then be updated as time goes on. This project will be an ongoing updateable record of archaeological features on Dartmoor for future reference.

Subjects

Subjects :
Archaeology
Grey Literature

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi...........766fed30727ec19910d5798b71338617
Full Text :
https://doi.org/10.5284/1101025