Drones over Mediterranean landscapes. The potential of small UAV's (drones) for site detection and heritage management in archaeological survey projects: A case study from Le Pianelle in the Tappino Valley, Molise (Italy)

Recent and ongoing technological developments make the application of unmanned aerial platforms increasingly accessible for archaeological research and heritage management. While the effectiveness of drones for documentation purposes of standing monuments and excavations has been amply demonstrated in recent years, there are also promising developments in their application for landscape archaeological projects. In this paper, the potential use of drones for the detection of subsurface archaeological remains in mountainous, Mediterranean landscapes is explored by presenting a case study in Molise, South Italy. In this rugged, Apennine area, traditional aerial archaeology approaches have in the past failed to yield good results as regards the detection and documentation of subsurface structures through crop marks. Recent experiments with low altitude, both vertical and oblique aerial photography using small, consumer friendly UAV's drones have, however, produced important and clearly readable information about the existence and extent of subsurface features in a series of sites in the Tappino Valley in Molise. This paper presents the first results of a case study of a complex rural site of the Classical-Roman period. Consequently, the paper discusses the potential value and feasibility of UAV's for archaeological research and cultural heritage management. In particular, the potential of the integration of UAV imagery in existing standard landscape archaeological research methods, such as field survey and geophysical prospection, is discussed. It is concluded that the targeted use of small remote controlled aerial platforms can significantly add to existing practices of both site-recognition and heritage management in the heavily threatened Mediterranean landscapes, and that it can be feasibly and efficiently integrated within standard methodologies applied in field survey projects. (C) 2016 Elsevier Masson SAS. All rights reserved.