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

• Main Authors: Rollot, Romain, Gadal, Sébastien, Danilov, Yuri
• Other Authors: 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), North-Eastern Federal University, Polar Urban Centers PUR, FMSH-RGNF "Landscape in narrative memory. Reality. Image. Modeling"
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2016
• Subjects: DEM; GIS; Flood exposure; Remote Sensing; Russia; Lena River; Multi-criteria Analysis; Yakutsk; Debacle; [SHS.GEO]Humanities and Social Sciences/Geography; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; lena river
• Online Access: https://hal.science/hal-01349833

International audience 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.