Advances in Digital Terrain Analysis (Lecture Notes in by Qiming Zhou, Brian Lees, Guo-an Tang

By Qiming Zhou, Brian Lees, Guo-an Tang

Terrain research has been an energetic research box for years and attracted study stories from geographers, surveyors, engineers and computing device scientists. With the fast progress of Geographical details process (GIS) expertise, rather the institution of excessive solution electronic Elevation types (DEM) at nationwide point, the problem is now taken with supplying justifiable socio-economical and environmental merits. The contributions during this booklet symbolize the cutting-edge of terrain research tools and methods in components of electronic illustration, morphological and hydrological types, uncertainty and functions of terrain research.

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By Qiming Zhou, Brian Lees, Guo-an Tang

Terrain research has been an energetic research box for years and attracted study stories from geographers, surveyors, engineers and computing device scientists. With the fast progress of Geographical details process (GIS) expertise, rather the institution of excessive solution electronic Elevation types (DEM) at nationwide point, the problem is now taken with supplying justifiable socio-economical and environmental merits. The contributions during this booklet symbolize the cutting-edge of terrain research tools and methods in components of electronic illustration, morphological and hydrological types, uncertainty and functions of terrain research.

Show description

Read Online or Download Advances in Digital Terrain Analysis (Lecture Notes in Geoinformation and Cartography) (Lecture Notes in Geoinformation and Cartography) PDF

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Extra info for Advances in Digital Terrain Analysis (Lecture Notes in Geoinformation and Cartography) (Lecture Notes in Geoinformation and Cartography)

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MILIARESIS Figure 6. Descriptive statistics of Zagros Ranges (Miliaresis 2001a). Elevation frequency histograms of the decomposed terrain classes of the study area. (a) mount, (b) non-mount, (c) a rose-diagram of the aspect vector (pointing downslope) standardized to 8 geographic directions defined in a raster image. Figure 7. Linear regression of local relief (LR) versus slope (G) for the mountain objects identified in Zagros Ranges (Miliaresis and Iliopoulou 2004). The correlation between the attributes of the mountain objects is of great significance and might be explored either by computing correlation coefficients, or by assuming the linear regression model (Miliaresis and Iliopoulou 2004).

Clarke (1988) smoothed DEMs using several first terms of two-dimensional Fourier series and added various proportions of an artificial ‘fractal’ surface to this smooth one. His results (3D map images) were recognizable by geomorphologists only when these additions were smaller than 10%. He concluded that fractal models of topography are unrealistic. Evans and McClean (1995) noted that such uni-fractal models of topography result in pits (closed depressions) being as frequent as summits, in contradiction to the result of Shary et al.

The fractal theory is also based on the hypothesis of self-similarity (Mandelbrot, 1967), according to which each landform is not only composed by smaller ones, but larger landforms are geometrically similar to smaller ones. Based on these concepts, typical notes on ‘fractal models of topography’ were like ‘Pure self-similarity is not a property of the real land surface’ (Goodchild, 1982), or ‘Fractal analysis… seems unlikely to capture the essence of complex and diverse landscapes’ (Xu et al. 1993).

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