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

International audience 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 th...

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Bibliographic Details
Main Authors: Zakharov, Moisei, Filippova, Viktoriya, Savvinova, Antonina, Pestereva, Kyunney, Gadal, Sébastien
Other Authors: North-Eastern Federal University, Laboratory of Electronic Cartography, Siberian Branch of the Russian Academy of Sciences (SB RAS), Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), RSF Land Ontology: Semantics, Semiotics, and Geographic Modeling
Format: Conference Object
Language:English
Published: HAL CCSD 2017
Subjects:
Online Access:https://amu.hal.science/hal-01816634
Description
Summary:International audience 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.