2017
DOI: 10.1177/0309133317733667
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An illustrated introduction to general geomorphometry

Abstract: Geomorphometry is widely used to solve various multiscale geoscientific problems. For the successful application of geomorphometric methods, a researcher should know the basic mathematical concepts of geomorphometry and be aware of the system of morphometric variables, as well as understand their physical, mathematical and geographical meanings. This paper reviews the basic mathematical concepts of general geomorphometry. First, we discuss the notion of the topographic surface and its limitations. Second, we p… Show more

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Cited by 102 publications
(79 citation statements)
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“…Some studies represent riverscape habitat complexity through the spatial variability of the environment. This variability can be defined by various metrics including topographic roughness [3], hydraulic roughness [4], topographic complexity [5], or hydraulic complexity [6].…”
Section: Introductionmentioning
confidence: 99%
“…Some studies represent riverscape habitat complexity through the spatial variability of the environment. This variability can be defined by various metrics including topographic roughness [3], hydraulic roughness [4], topographic complexity [5], or hydraulic complexity [6].…”
Section: Introductionmentioning
confidence: 99%
“…In ArcGIS, it ranges from 0 to 359.9 degrees, measured clockwise from north, and −1 for locations of no slope, based on the same Horn [18] method. BTM augments this with an additional aspect calculation, which converts aspect into two variables: Northerness A N , due south to due north, and easterness A E , due west to due east [19,20].…”
Section: Surface Gradientsmentioning
confidence: 99%
“…Digital Terrain analysis (DTA) and modeling has been a flourishing interdisciplinary field for decades, with applications in hydrology, geomorphology, soil science, engineering projects and computer sciences [1][2][3][4][5][6][7][8][9][10][11][12][13]. DTA is not so much a single technique, but rather a set of multiple algorithms developed from theory and principles of earth and planetary science, mathematics, and computer science.…”
Section: Introductionmentioning
confidence: 99%