4.4 Article

Caucasia top-down: Remote sensing data for survey in a high altitude mountain landscape

Journal

QUATERNARY INTERNATIONAL
Volume 402, Issue -, Pages 46-60

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.quaint.2015.10.106

Keywords

Caucasus; Archaeology; Survey; Remote sensing; Aerial photography; Satellite images

Funding

  1. Deutsche Forschungsgemeinschaft (DFG) [RE 2688/1-3, RE 2688/2]
  2. Russian Foundation for Humanities (RFH) [06-01-92012a]
  3. Russian Foundation for Basic Research (RFBR) [03-06-80099, 04-06-88040, 05-06-88003, 06-06-80117, 06-06-88005]
  4. German Archaeological Institute, Eurasia Department/Department of Natural Sciences

Ask authors/readers for more resources

Until recently, surveys in mountainous areas were focused on traditional survey techniques such as field walking. Remote sensing data, however, has become more and more important in this field. This article will evaluate several methods of remote sensing such as aerial photography, satellite images or images from un-manned aerial vehicles (UAV) as instruments for detecting archaeological sites in mountains. It will discuss the origin of site visibility such as relief, crop-marks or snow-markers, and the related archaeological features underground. It will also discuss internal difficulties of remote sensing data in terrain with heterogeneous height structure. On the basis of a case-study from the North Caucasus (Russia), the potential and the limits to the application of a research strategy using remote sensing in mountain archaeology will be discussed. Cross-checking with non-destructive prospection methods such as geophysics and soil sciences allows the evaluation of the percentage of the sites detectable from above ground. (C) 2015 Elsevier Ltd and INQUA. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available