Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge - Archive ouverte HAL Access content directly
Conference Papers Year : 2021

Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge

Abstract

Arctic extensively urbanized centers are subject to the impact of many negative environmental phenomena progressing in terms of global climate change and regional development in Yakutia in the context of poor and missing databases. For this reason, the modeling of the risk exposures is based on combining the remote sensing, and local knowledge of inhabitants. According to the occurrences of the natural hazards, the territorial management and the decision-making system require the identification and assessment of natural risks to which the rural populations localized in the towns and villages are exposed, for example, in the urban center of Khamagatta located at 70km to the North from Yakutsk near the Lena River. The main environmental vulnerability exposures are seasonal: springtime floods between May and June, the forest fires from June to August, the cyclic permafrost degradation, and river erosion impacts.
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hal-03201641 , version 1 (19-04-2021)

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Attribution - NonCommercial - NoDerivatives

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Sébastien Gadal, Moisei Zakharov, Jurate Kamicaityte, Antonina Savvinova, Yuri Danilov. Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge. EGU General Assembly 2021, European Geosciences Union, Apr 2021, Göttingen, Germany. pp.16268, ⟨10.5194/egusphere-egu21-16268⟩. ⟨hal-03201641⟩
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