Hostname: page-component-8448b6f56d-42gr6 Total loading time: 0 Render date: 2024-04-24T12:43:47.040Z Has data issue: false hasContentIssue false
  • English
  • Français

The UNESCO Libyan Valleys Survey VIII: Image Analysis of Landsat Satellite data for Archaeological and Environmental Surveys

Published online by Cambridge University Press:  03 March 2015

J. E. Dorsett ,
D. D. Gilbertson ,
C. O. Hunt  and
G. W. W. Barker
J. E. Dorsett
Affiliation:
Institute of Archaeology, University of London
D. D. Gilbertson
Affiliation:
Department of Prehistory and Archaeology, University of Sheffield
C. O. Hunt
Affiliation:
Department of Prehistory and Archaeology, University of Sheffield
G. W. W. Barker
Affiliation:
Director, British School at Rome
Get access Rights & Permissions [Opens in a new window]

Abstract

Digital image data from the Landsat satellite Multispectral scanner have been analysed using a Dipex Image Processor. The image data were classified by a clustering algorithm to produce a thematic map for trial use in areas of archaeological interest. The archaeological, pedological, geomorphic and geological importance of these new data are discussed in the context of ground data obtained during the UNESCO April 1984 field season.

Type
Articles
Information
Libyan Studies , Volume 15 , 1984 , pp. 71 - 80
Copyright
Copyright © Society for Libyan Studies 1984

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allan, J. A. and Richards, T. S. 1983. Use of Satellite Imagery in Archaeological Surveys. Libyan Studies 14: 4–8.CrossRefGoogle Scholar
Cooke, R. V. and Doornkamp, J. C. 1974. Geomorphology and Environmental Management. Oxford, Clarendon Press.Google Scholar
Gilbertson, D. D., Hayes, P. P., Barker, G. W. W. and Hunt, C. O. 1984. The UNESCO Libyan Valleys Survey VII: An Interim Classification and Functional Analysis of Ancient Wall Technology and Land Use. Libyan Studies 15: 45–70.CrossRefGoogle Scholar
Lillesand, T. M. and Kiefer, R. W. 1976. Remote Sensing and Image Interpretation. Wiley, New York.Google Scholar
Shin, E. H. H. and Schowengerdt, R. 1983. Classification of Arid Geomorphic Surfaces using Landsat Spectral and Textural Features. Photogrammetric Engineering and Remote Sensing 49(3): 337–347.Google Scholar
Stevens, R. J., Lehar, A. F. and Preston, F. H. 1982. Data ordering and compression of multispectral images using the Peano scan. Proceedings of the International Conference on Electronic Image Processing. IEE Conference Publication no. 214: 209–211.Google Scholar