CGRG Bibliography of Canadian Geomorphology
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Author : Goddard, T.W.; MacMillan, R.A.; Brierley, J.A.; and Pelcat, Y.
Date : 2006.
Title : Automated extraction and classification of repeating landforms in eastern Alberta.
Publication : Annual Scientific Meeting of the Canadian Geophysical Meeting, May 14-17, 2006. Banff Centre, Banff, Alberta. Abstracts Volume.
Issue :
Page(s) : 51-52.
Abstract
Quantification of landscapes and the landforms within them has the potential to be beneficial to the development of our knowledge of ecosystems, hydrology, pedology and risk assessment. Computer tools now allow us to process elevation data for large areas to objectively derive information about landforms that was previously unattainable. We used components of the LandMapR software toolkit to delineate landscape types by identifying classes of repeating landform types. Simulation of flow paths on normal and inverted elevation models was used to extract hydrologic spatial entities equivalent to hillslopes and peaks. These hydrologic-geomorphic spatial entities were characterized in terms of their morphometry and then classified into repeating types of landforms of different size, shape, relief, orientation and scale. Elevation data of two different origins and resolutions (SRTM and Alberta 1:20,000 base) were processed for a single NTS map sheet (73 E) in eastern Alberta (14,300 km-2). The landform classifications produced using the two different data sources were compared to landscape classes attached to polygons of the digital soils map of Alberta (AGRASID). The project is not yet complete; however initial results suggest that automated classification of repeating landform types from available elevation data can be both meaningful and feasible for large areas. Initial results will be presented and discussed in the context of the input data, the data processing rules, similarities and differences to existing manually interpreted maps and the scale of the products.
Bibliography of Canadian Geomorphology