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Recognition of Landscape ‘ Structures by Toponymical Map and Remote Sensing Analysis (Khangalassky district, Yakutia)

Abstract : Landscape and toponymical researches contribute to the reconstruction of the geographical environment of the past historic periods as well as the study made on the Khangalssky district in Yakutia (oriental Siberia). A landscape semantics cartography of the toponyms covering the valley of “Erkeeni” and “Samartay” combined with remote sensing image processing and the semantics analysis of the three linguistic groups of toponyms [Turkic (Yakut), Manchu-Tungus (Evenk) and Slavic (Russian)] generate a model of recognition of the landscape’s categories. These landscape’s categories recognised corresponding to the historical evolutions of Khangalssky district; but also, of the different land uses, specific economic activity of the ethnic groups organising the geographic space.
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https://hal-amu.archives-ouvertes.fr/hal-01816634
Contributor : Sébastien Gadal <>
Submitted on : Friday, June 15, 2018 - 2:58:52 PM
Last modification on : Tuesday, October 13, 2020 - 3:10:44 AM

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  • HAL Id : hal-01816634, version 1

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Moisei Zakharov, Viktoriya Filippova, Antonina Savvinova, Kyunney Pestereva, Sébastien Gadal. Recognition of Landscape ‘ Structures by Toponymical Map and Remote Sensing Analysis (Khangalassky district, Yakutia). IX Arctic Congress in Social Sciences (ICASS IX): "People and Place", Jun 2017, Umea, Sweden. ⟨hal-01816634⟩

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