Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Арктика XXI век: Естественные науки Année : 2016

Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia)

Résumé

This paper proposes a vulnerability assessment of the Yakutsk areas exposed to the spring breakup flood. The approach is based on the use of remote sensing and a GIS’s multi-criteria analysis. Before assessing the vulnerability, potential flood-prone areas have been model with data from Global Digital Elevation Model (GDEM) ASTER v.2 (USGS/METI) and, next, correlated with the categorisation of the urban areas at risk of flooding by image processing with EO-1 ALI satellite images. The methodology developed permitted to build a typology of vulnerable areas and consequently to supply information and data to assess with criteria the vulnerability in several dimensions. In this study, the multi-criteria analysis evaluates the vulnerability in three component and as a whole. Results of this work are focused on the geographic understanding of the vulnerability to the spring breakup flood risk than on the consequences.
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Dates et versions

hal-01349833 , version 1 (29-07-2016)

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  • HAL Id : hal-01349833 , version 1

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Romain Rollot, Sébastien Gadal, Yuri Danilov. Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia). Арктика XXI век: Естественные науки, 2016, 5 (2), pp.5-13. ⟨hal-01349833⟩
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