Abstract

ЭТАПЫ ФОРМИРОВАНИЯ РЕЧНОЙ СЕТИ БАССЕЙНА ВЕРХНЕЙ КАМЫ В ПЛЕЙСТОЦЕНЕ

Highlights

  • The decoding of satellite images from the Landsat-8 OLI, SPOT-5 satellite for the period of 2014– 2018 and the ESRI ArcGIS World Imagery open mapping service data were used as the main method for studying the structural features of the river network, meso- and microrelief, vegetation distribution, as well as the nature and degree of moisture of the Upper Kama River basin

  • Deposits: 1 – modern alluvial (loams, sands with gravel and pebbles) (aIV); 2 – modern marsh (peat) (hIV); 3 – modern mid- and upper Quaternary (eluvial-deluvial loams and sands) (edII-IV); 4 – upper Quaternary alluvial I terrace (sands with gravel and pebbles of the Mologa-Sheksna and Ostashkov horizons) (aIIIms + os); 5 – upper Quaternary alluvial II terrace (sands with gravel and pebbles, loams and clays of the Mikulino and Kalinian horizons) (aIIImk + k); 6 –mid-Quaternary alluvial III terrace (sands with gravel and pebbles, clay interlayers of the Odintsovo and Moscow horizons) (aIIod + ms); 7 – mid-Quaternary fluvioglacial retreat times of the Dnieper glacier (sands with gravel and pebbles, loams) (fIId2); 8 – contour of the Kirsa River paleovalley

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Summary

Introduction

The decoding of satellite images from the Landsat-8 OLI, SPOT-5 satellite for the period of 2014– 2018 and the ESRI ArcGIS World Imagery open mapping service data were used as the main method for studying the structural features of the river network, meso- and microrelief, vegetation distribution, as well as the nature and degree of moisture of the Upper Kama River basin. Digital elevation models from freely available (ArcticDEM, Alos DEM, TanDEM-X) and created on the basis of vectorization of maps of scales 1: 100 000 and 1:25 000 were used.

Results
Conclusion
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