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

Moisei Zakharov (1, 2) , Viktoriya Filippova (3, 2) , Antonina Savvinova (2, 1) , Kyunney Pestereva (1) , Sébastien Gadal (4, 5)

1 North-Eastern Federal University
2 Laboratory of Electronic Cartography
3 SB RAS - Siberian Branch of the Russian Academy of Sciences
4 ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace
5 AMU - Aix Marseille Université

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.

Mots clés: Landscape; Toponym; Environment; Reconstruction of past environment; Khandalssky; Yakutia; Russia; Semantic; Cartography; Remote Sensing

Domaines: Traitement des images [eess.IV]; Méthodes et statistiques; Environnement et Société; Géographie; Modélisation et simulation

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⟩