Vol. 10, No. 1, 9-26, 2011

Identification of lineaments with possible structural origin using ASTER images and DEM derived products in Western Crete, Greece
Eirini S. Papadaki, Stelios P. Mertikas, and Apostolos Sarris

Abstract
The application of remote sensing technology, over more than three decades, has shown a great promise for large-scale geological mapping. This work presents an investigation for enhancing lineaments with possible relevance to faults, in Western Crete, Greece using a multi-spectral ASTER satellite image and standard geographic information systems (GIS) techniques. Image processing involved: a) the Principal Component Analysis; b) the computation of the normalized vegetation index image; and c) the generation of False Colour Composite images. The capability of the ASTER thermal infrared (TIR) bands to detect lineaments that might be related to failure of the crust has been evaluated. Moreover, a digital elevation model has been used to create the shaded relief and maps for the slope and aspect of the terrain. Remote sensing results have been compared, in digital form, with the drainage network at a scale of 1:50 000 and geological maps at scales of 1:200 000 and 1:50 000. Lineaments related to steep slopes, straight valley segments, abrupt changes in vegetation coverage and sudden bends along river courses have been evaluated as potential faults. Fieldwork surveys have been carried out in selected regions of interest. The applied methodology has contributed in identifying several known large-scale faults in Western Crete, Greece and mapping their potential extension.

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History
Submitted: 13 Sept 2010
Revised: 25 Feb 2011
Accepted: 20 Mar 2011
Published: 22 Mar 2011
Responsible editor: Rainer Reuter

Citation
Papadaki E S, S P Mertikas & A Sarris, 2011. Identification of lineaments with possible structural origin using ASTER images and DEM derived products in Western Crete, Greece. EARSeL eProceedings, 10(1): 9-26

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EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France

   
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BIS-Verlag
BIS Library and Information System, Carl von Ossietzky University of Oldenburg

 

ISSN 1729-3782