Special Issue "Archaeological Prospecting and Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 September 2016)
Prof. Kenneth L. Kvamme
Department of Anthropology & Archeo-Imaging Lab, University of Arkansas, Old Main 330, Fayetteville, AR 72701, USA
Website | E-Mail
Interests: Near-surface geophysics, data integration, pattern recognition, spatial analysis, archaeological location modeling
Archaeological prospecting through various remote sensing and computing technologies has seen large advances in recent years. Satellites now offer the sub-meter spatial resolutions required for archaeological detection together with an increasing breadth of spectral information. Aerial drones coupled with an increasing variety of sensors and software for automatic image mosaicking yield new and even higher resolution perspectives on past landscape modifications. Lidar permits detailed surface maps of subtle landscape variations that point to buried ruins and other past modifications to the ground even in heavily forested regions. Geophysical instrumentation continues to increase in sensitivity and speed, and new multi-sensor arrays drawn by carts over land now permit vast areas to be rapidly covered. Computer models of archaeological location, whether derived through simulation or regional statistical patterns, form methods of prospecting that continue to advance.
We would like to invite you to submit articles about your recent research with respect to the following topics, all with a focus on the detection of archaeological features, whether sites, settlements, monuments, or shipwrecks.
- Ground-based or marine geophysics
- Aerial imaging through aircraft or drones
- Multispectral imaging from air or space
- Thermal infrared imaging
- Air or space radar
- Integration of multi-sensor data (ground, air, or space)
- Automatic archaeological feature detection
- GIS-based or other computer models of archaeological location grounded in social-environmental simulations or regional statistical patterns
- Review articles covering one or more of these topics are also welcome.
Authors are required to check and follow specific Instructions to Authors, see https://dl.dropboxusercontent.com/u/165068305/Remote_Sensing-Additional_Instructions.pdf.
Dr. Kenneth L. Kvamme
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 monthly journal published by MDPI.