Share Email Print

Proceedings Paper

An expert approach to archaeological site location through remote sensing information
Author(s): Roberto Carla; Maria Jacoli; Giuliana Profeti; Valerio Venturi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

It is commonly accepted that the spatial distribution of archaeological sites is largely dependent on the characteristics of the environment. Hence, during the last decades, many studies have been focused on selecting environmental characteristics that can be used successfully in predicting unknown site locations. In previous studies the authors, using experimental tests and ground surveys, analysed many environmental factors and identified the most important ones for defining the inclination of an area to settling. Some of these could be obtained from cartography and Digital Elevation Models (DEM), whereas others were extracted from remote sensing imagery. In this work, Landsat ETM and IKONOS-2 satellite data were used to obtain environmental information useful in predicting new archaeological sites using an expert euristic approach. The information obtained from satellite data, plus a few other environmental descriptors, was used to build a predictive archaeological model that characterised an inclination to settle in the test area (region of Lucania in Southern Italy). The map of settlement tendency thus obtained, which was verified during few ground surveys, led to the identification of more than one hundred new archaeological sites, with a prediction accuracy greater than 80%. The environmental characteristics of the new archaeological locations were then statistically analysed and their effectiveness was evaluated. The results demonstrated that the integration of remotely-sensed information within an archaeological model greatly enhanced the capabilities for searching out identifying new archaeological settlements.

Paper Details

Date Published: 14 March 2003
PDF: 9 pages
Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); doi: 10.1117/12.463159
Show Author Affiliations
Roberto Carla, CNR (Italy)
Maria Jacoli, CNR (Italy)
Giuliana Profeti, CNR (Italy)
Valerio Venturi, Istituto di Ricerca sulle Onde Elettromagnetiche (Italy)

Published in SPIE Proceedings Vol. 4886:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II
Manfred Ehlers, Editor(s)

© SPIE. Terms of Use
Back to Top