Download Advances in Digital Terrain Analysis by Qiming Zhou, Brian Lees, Guo-an Tang PDF

By Qiming Zhou, Brian Lees, Guo-an Tang

Terrain research has attracted study experiences from geographers, surveyors, engineers and desktop scientists. The contributions during this booklet symbolize the state of the art of terrain research tools and strategies in components of electronic illustration, morphological and hydrological types, uncertainty and purposes of terrain research. The publication will attract postgraduate and senior undergraduate scholars who take complex classes in GIS and geographical analysis.

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Curvature-sign-based landform classifications appear statistically predictable, that is, areas occupied by each landform type are Models of Topography 35 predictable, in contrast to landform patterns (Shary et al. 2005). When such landform classifications are used in DTA, this may result in corresponding predictability of soil or vegetation that may appear unrealistic. MacMillan and Shary (2007) reviewed current approaches to landform classifications, and classified these classifications themselves into predictable and terrain-specific, objective and subjective, quantitative and qualitative, supervised and unsupervised, and so on.

Akima, 1978), triangulation may be used. This consists of calculating triangles with apices at given points under the Delauney criterion of triangles to be most close to those that have equal angles (Peuquet 1984). Delauney triangulation is complementary to Voronoi (1907) tessellation. In Models of Topography 37 Figure 5, Delauney triangles are solid, Voronoi tiles are dashed, and circles are irregular DEM points. Every location within a Voronoi tile is closer to the point about which that cell is drawn than it is to any other point.

24 George Ch. MILIARESIS Figure 9. The mountain terrain class in Valles Marineris (Mars). The white pixels represent the pixels labelled by the DEM-to-Mountain transformation (Miliaresis and Kokkas 2004). Additionally, the segmentation to aspect regions and their representation on the basis of mean elevation and mean gradient revealed the chasma terrain structure, proving that the basin floors of the elementary chasmata are interrupted by regions with higher mean elevation and gradient, due possibly to vertical tectonic movements (Miliaresis and Kokkas 2004).

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