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Landscape Mapping Using GIS and Google Earth Data

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Abstract

The process of laboratory compilation of the natural landscape chorological map of one of the uluses (administrative districts) of the Sakha (Yakutia) Republic is presented at a scale of 1:2 500 000. The GIS tools were used to reference thematic cartographic documents to the topographic base of the ulus containing contour lines, elevations and the main river network. The final river network is drawn on the basis of other data sources. A significant role in the subsequent map compilation stages was played by data from the Google Earth website: 2D and 3D images were used to identify floodplains. Units of glacial landforms of foothill areas and the main types of geological and geomorphological units of the ulus were determined using both published data sources and the Google Earth imagery. The map of natural vegetation has been compiled having regard to the humidity conditions and the vertical zonation of the climate and soils. The digital map layers in GIS were gradually combined into the synthetic natural landscape map of the ulus, and the identified natural landscape units were also incorporated into the regional classification of the landscapes of Siberia. It is established that the hierarchical system of natural landscapes of the ulus differentiates three levels of classification: high (the landscapes are differentiated with respect to their geographical location into the landscapes of lowlands and high mountains), intermediate (the differentiation of the landscapes with respect to the genesis and topography dissection in a relevant climatic zone) and low (the natural landscapes are determined by a combination of vegetation covering the type of soil that developed on a given geological substrate).

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Correspondence to J. Kolejka.

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Original Russian Text © J. Kolejka, 2018, published in Geografiya i Prirodnye Resursy, 2018, Vol. 39, No. 3, pp. 147–155.

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Kolejka, J. Landscape Mapping Using GIS and Google Earth Data. Geogr. Nat. Resour. 39, 254–260 (2018). https://doi.org/10.1134/S1875372818030095

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