Historic Environment Scotland (HES) is the lead public body which investigates, promotes and cares for the historic environment in Scotland. It undertakes a range of archaeological airborne work from detailed documentation of individual sites to extensive national programmes of prospection. In undertaking this work HES draws on a variety of aerial platforms to collect imagery, including light aircraft and unmanned aerial vehicles (UAV-used throughout this paper as an umbrella term). In all cases, the archaeological questions at hand are the key driver for choice of methodology and platforms, recognising that different types of survey and documentation demand different responses. Differing strands of aerial work will be briefly described, followed by short case studies that illustrate the range of our activities, concluding with thoughts on the context of UAV work for archaeological applications.
The characteristics and form of heritage data are fundamental to its utility in a range of applications, particularly so for heritage agencies who have a remit in management, policy, and the creation and curation of national databases of monuments, sites, and landscapes. Written from the perspective of an archaeological survey function in a national heritage agency, this paper draws on preliminary outcomes from a research and development project that aims to proof protocols for creating systematic data across large areas drawing heavily on remotely sensed data. This recognises that a systemic consideration of the implications of changing technology and data is sometimes desirable, rather than gradual assimilation of developments into existing practice. In particular, the issues being addressed relate to the challenges and opportunities of proliferating remote sensed data and digital workflows. These include the strategic assessment of threat, consideration of fitness for purpose of different datasets relative to landscape characteristics, the documentation of processes and sources of information, the suitability of data structures, and the mechanisms for automating site detection and data creation.
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