Terrain classification from digital elevation data using slope and curvature information
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Terrain classification from digital elevation data using slope and curvature information

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Published .
Written in English

Subjects:

  • Computer science

Book details:

Edition Notes

ContributionsMcGhee, Robert (Robert B.)
The Physical Object
Pagination55 p.
Number of Pages55
ID Numbers
Open LibraryOL25506362M

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A digital elevation model (DEM) offers a common method for extracting vital topographic information needed to model soil erosion and water flow across a landscape (Zhu et al., , Pennock and Corre, ).Shary et al. () defined 12 types of slope curvature that potentially can be used for landform classification. Ballantine et al. () were able to differentiate six landform features Cited by: Terrain derivatives such as elevation, slope gradient, slope aspect, profile curvature, and plane curvatures were classified in a multi- resolution object-oriented approach comprising four. Jenson SK, Domingue JO() Extracting topographic structure from digital elevation data for geographic information system analysis. Photogrammetric Engineering and Remote Sensing – Google Scholar Jones KH() A comparison of algorithms used to compute hill slope as a property of the by: A Digital Elevation Model (DEM) is a digital model or three dimensional (3D) representation of a terrain's surface created from elevation data. The term DEM was introduced in the s with the purpose of distinguishing the simplest form of terrain relief modelling from more complex types of digital surface representation.

A digital terrain model (DTM) is a model of the actual topographic surface, (Hengl et al., ;Hengl and Reuter, ), whereas a digital elevation model (DEM) is only the elevation. Curvature is a complex terrain derivative to compute, the equation that you use depends on the resolution of your input data, as you have to ensure that the curvature results you compute can be distinguished from noise in the data. Vector terrain ruggedness is a measure of the ruggedness of terrain, calculated by measuring the dispersion of slope vectors orthogonal to grid cells within a neighbourhood. In effect, this is a measurement of the combined variability in both slope and aspect. Ruggedness ranges between calculated values of 0. Digital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science and geology. Divided into three parts, the book first examines main concepts, principles, and methods of digital terrain.

The BTM toolbox for ArcGIS creates a user-defined classification system of benthic terrain. The BTM scripts transform digital elevation data into a classified product for use in research or natural resource management. However the principles behind the tool are general enough to be used on any digital elevation Size: 6MB. 2. DIGITAL ELEVATION MODELS A DEM is a quantitative, three-dimensional representation of the earth surface derived from elevation data. It provides basic information regarding terrain characteristics. The primary attributes, which can be derived from the DEMs, are slope, aspect, profile curvature and catchment area. Slope, Aspect and Curvature Calculates the local morphometric terrain parameters slope, aspect and if supported by the chosen method also the curvature. Besides tangential curvature also its horizontal and vertical components (i.e. plan and profile curvature) can be calculated. (SAGA GIS Tool Description) Figure 5: Slope, Aspect and CurvatureFile Size: 1MB. method for mapping gullies [3, 4], and so has using mean elevation differences from light detection and ranging (LiDAR)-derived digital terrain models (DTM) [5]. Mapping of gullies based on other terrain derivatives such as total curvature or surface roughness remains relatively Size: KB.