Special Issue "2nd Edition Advances in Remote Sensing for Archaeological Heritage"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 30 September 2019
Dr. Louise Rayne
Prof. Danny Donoghue
Department of Geography, University of Durham, Lower Mountjoy, South Road, Durham, DH1 3LE, UK
Website | E-Mail
Phone: +44 (0) 191 33 41867
Interests: airborne and satellite remote sensing; applications of remote sensing for archaeology and coastal change; computer aided learning techniques; geographical information systems for environmental modelling
This Special Issue assesses the status of remote sensing applications in archaeology and explores how their use could have a more significant impact on archaeological research and cultural heritage protection in the future. It is organized in conjunction with the Remote Sensing and Photogrammetry Society (RSPSoc) Archaeology Special Interest Group. Remote sensing and GIS have rapidly been adopted by archaeologists for several key reasons: Fast mapping of entire landscapes, analysis of large datasets, and a way of recording features in areas rendered inaccessible, for example in areas affected by current conflict, by land-use change, and in built heritage. In recent years many image interpretation-based studies, classifications and automated detection projects (and thermal imaging, photogrammetry, LiDAR, Synthetic Aperture Radar, and the relatively low-cost/open source and user-friendly structure-from-motion software packages have been applied to cultural heritage protection as well as recording and analysis. Applications have also sought to demonstrate the use of remote sensing for specific regions, sites, buildings and even objects. The value of many of the products of these analyses needs to be established more robustly, however, reflecting on the need for them to enhance our understanding of past landscapes rather than primarily acting as aesthetically-pleasing visualizations. While many archaeological projects rely exclusively on trained expertise in remote sensing, others are also making use of citizen scientists to build larger datasets. This issue will present a number of relevant remote sensing tools and case studies across a wide temporal and spatial range and assess the impact of an increasingly open-source research environment; it will also promote a discussion of how the impact of remote sensing and GIS techniques in archaeology and cultural heritage can be increased.
Dr. Christopher Brooke
Dr. Louise Rayne
Prof. Danny Donoghue
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Remote sensing archaeology
- ‘Structure from Motion’ Photogrammetry
- Cloud Computing and Parallel Processing
- SAR, Lidar, GIS
- Multispectral Imaging, Hyperspectral Imaging
- Thermography, Thermal Imaging