Abstract
The article deals with the geomorphologic method of classification of the elevation, applying a special overlay of the first and second rate derivative of the elevation. So far in the tests there have been taken into account one or two characteristics for classification. The technique presented suggests the method of joining together some surface characteristics and by summarising as well as associating them together to make one rugged surface of the elevation to be able to reflect the most precisely and comprehensively the elevation changes in the spherical image and it should serve best for selecting the elevation model and parameters of modelling. The errors of the elevation models obtained by means of different modelling techniques have been evaluated. The results revealed that the elevation models errors depend on geomorphologic characteristics. These errors have been calculated by means of different methods. The efficiency of the method has been evaluated calculating the elevation model for each. The possibilities to reduce the standard deviations of the elevation model have been evaluated by selecting the parameters of the elevation modelling.
Highlights
When compiling a digital elevation model (DEM) we come across with different values of standard deviations in locations of digital elevation models
To carry out the task a technique has been compiled for surface geomorphologic zoning, dividing the elevation into zones, grouping the elevation characteristics
The technique meant for surface geomorphologic zoning has been applied, taking into account the surface characteristics, namely the slope, aspect and roughness, the surface divided into the territories with different geomorphometric characteristics [2, 3]
Summary
When compiling a digital elevation model (DEM) we come across with different values of standard deviations in locations of digital elevation models. The author has raised and checked the hypothesis that deviations have been arranged not in the random sequence but they depend on the elevation characteristics. The investigation has pointed out that the values of the standard deviations depend on some DEM characteristics [1]. The author proposes to select the DEM method in accordance with these characteristics. To carry out the task a technique has been compiled for surface geomorphologic zoning, dividing the elevation into zones, grouping the elevation characteristics. The standard deviations of the elevation model have been eliminated by selecting the most suitable technique of elevation modelling and the most optimal parameters
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