Share Email Print
cover

Proceedings Paper

Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery. Case study: Suoimuoi tropical karst catchment, Vietnam
Author(s): L. Q. Hung; O. Batelaan; F. De Smedt
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Vast areas of the world consist of hard rocks (basement complexes), where water is restricted to secondary permeability, and thus to the fractures and the weathered zones. As the success ratio of drilling in hard rock terrain may be low, and the use of geophysics is often judged as too expensive, the study of lineaments from remote sensed imagery offers an attractive alternative analysis technique. High production areas in hard-rock aquifers are generally associated with conductive fracture zones. An effective approach for delineation of fracture zones is based on lineament indices extracted from satellite imagery. Together with a detailed structural analysis and understanding of the tectonic evolution of a given area it provides useful information for geological mapping and understanding of groundwater flow and occurrence in fractured rocks. The accuracy of extracted lineaments depends strongly on the spatial resolution of the imagery, higher resolution imagery result in a higher quality of lineament map. The ASTER sensor provides imagery with a higher resolution (15m) than the LANDSAT sensor (30m). It is tested and shown here that extracted lineaments from the VNIR ASTER imagery are considerably less noisy and show a higher accuracy than lineaments extracted from other imagery.

Paper Details

Date Published: 29 October 2005
PDF: 12 pages
Proc. SPIE 5983, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V, 59830T (29 October 2005); doi: 10.1117/12.627699
Show Author Affiliations
L. Q. Hung, Vrije Univ. Brussel (Belgium)
Research Institute of Geology and Mineral Resources (Vietnam)
O. Batelaan, Vrije Univ. Brussel (Belgium)
F. De Smedt, Vrije Univ. Brussel (Belgium)


Published in SPIE Proceedings Vol. 5983:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V
Manfred Ehlers; Ulrich Michel, Editor(s)

© SPIE. Terms of Use
Back to Top