EGU2020-19509, updated on 20 Jan 2021
https://doi.org/10.5194/egusphere-egu2020-19509
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Small-scale clustering of the Russian part of Arctic by periodicity type of the topographic patterns

Sergey Kharchenko
Sergey Kharchenko
  • Lomonosov Moscow State University, Moscow, Russia; Institute of Geography, RAS, Moscow, Russia (xar4enkkoff@yandex.ru)

Homogeneous topography pattern - can be an indicator of similar Earth's surfaces genesis and age. It is difficult to automatically formally describe these features and map the terrain. To describe the Earth's surface periodicity, we developing spectral terrain characteristics (STC). Their calculation consists of the following: a sliding window of different sizes decomposes the DEM into a Fourier row from which it is extracted:  1) amplitude of the main harmonic wave; 2) its length; 3) dispersion of heights given by 5% of the most important waves in relation to the general dispersion of heights; 4) general direction of oscillations of the height field; 5) unidirectionality / expression of this direction, etc. Areas with similar values of these parameters have visually homogeneous topographic pattern. We have calculated the above mentioned and some more complicated parameters for the whole territory of the Russian Arctic on a shallow scale: according to GMTED 2010 30" (1000 m per cell) on moving windows with sizes from 40 to 100 km and with the step of 10 km. Fifty-six raster models of SRC were obtained - 8 parameters at 7 scales each. Using them, a map of topographic dissection types in the Russian part of the Arctic was created with the help of self-organizing Kohonen neural networks and subsequent hierarchical clustering of individual neurons. 10 clusters have been identified related to geostructural, geological and geomorphological differences. 

This study was funded by the Russian Science Foundation, project no. 19-77-10036.

How to cite: Kharchenko, S.: Small-scale clustering of the Russian part of Arctic by periodicity type of the topographic patterns, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19509, https://doi.org/10.5194/egusphere-egu2020-19509, 2020

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