On the Ability of Geophysical Methods to Image Medieval Turf Buildings in Iceland

• Published in: Archaeological Prospection
• Main Authors: Wunderlich, Tina, Wilken, Dennis, Andersen, Jasmin, Rabbel, Wolfgang, Zori, Davide, Kalmring, Sven, Byock, Jesse
• Other Authors: Deutsche Forschungsgemeinschaft
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2015
• Subjects: Iceland
• Online Access: http://dx.doi.org/10.1002/arp.1506; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Farp.1506; https://onlinelibrary.wiley.com/doi/pdf/10.1002/arp.1506

Abstract Structures in Iceland were traditionally built of turf, earth and, to a lesser extent, stone. As turf was the primary construction material, the contrast in geophysical parameters between building ruins and surrounding soil is expected to be low. To investigate the extent to which the remains of turf buildings can be detected by geophysical measurements, we applied several geophysical techniques to a known turf ruin in southwestern Iceland. The methods used were magnetics, ground‐penetrating radar (GPR), electromagnetic induction (EMI), electrical resistivity tomography (ERT) and seismic Rayleigh‐wave resonance mapping (RRM). Magnetics identified an accumulation of stones inside and beside the ruin. The in‐phase component of the EMI measurements, which can be related to magnetic susceptibility, showed the same pattern. A very precise image of the stones lining the inside of the former turf walls was generated by GPR. In contrast, EMI conductivity and ERT imaged the actual turf in the walls. Turf walls have lower electrical conductivity compared with the surrounding soil, probably as a result of different porosities. The mapping of Rayleigh wave resonance clearly revealed the outline of the ruin, as indicated by weaker amplitudes compared with the surrounding soil. Overall the results indicate that geophysical methods can be used for subsurface mapping of Icelandic turf structures and that the combined application of the methods maximizes this potential. Copyright © 2015 John Wiley & Sons, Ltd.