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Geology; November 2006; v. 34; no. 11; p. 901-904; DOI: 10.1130/G22632A.1
© 2006 Geological Society of America
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Identifying structural trend with fractal dimension and topography

Julie Wallace1, Bill Morris2 and Philip Howarth3

1 Department of Geography, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
2 School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4L8, Canada
3 Department of Geography, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

A digital elevation model (DEM), derived from light imaging detection and ranging (LiDAR) altimetry data, is used to investigate the fractal characteristics and structural trends of a topographic surface. The study area is located on the southeastern rim of the Sudbury Basin, a meteorite impact feature in Ontario, Canada. Visual interpretation and statistical analysis of fractal dimension (D) indicate that the geological units in the study area are characterized by statistically different distributions of D. In addition, the landscape exhibits two predominant aspect directions: 127° and 290° or ~SE and NW. High values of D correspond to these predominant aspect directions. Topographic ridgelines exhibit a NE-SW trend, which is perpendicular to that of the highest fractal dimensions and the predominant aspect directions. It is suggested that these ridgelines are topographic expressions of tectonic fabrics present in the various geological units. Genesis of the tectonic fabric is related to the NW-SE–directed shortening of the Sudbury Basin impact crater.

Key Words: digital elevation model • fractals • LiDAR • lithology • ridgelines • Sudbury Basin • topographic trend




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