Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia)
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...
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ftunivnantes:oai:HAL:hal-01349833v1 2023-05-15T17:07:37+02:00 Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) Rollot, Romain Gadal, Sébastien Danilov, Yuri Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE) Université Nice Sophia Antipolis (1965 - 2019) (UNS) COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-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" 2016-02 https://hal.archives-ouvertes.fr/hal-01349833 en eng HAL CCSD North Eastern Federal University hal-01349833 https://hal.archives-ouvertes.fr/hal-01349833 ISSN: 2310-5453 Арктика XXI век: Естественные науки https://hal.archives-ouvertes.fr/hal-01349833 Арктика XXI век: Естественные науки, North Eastern Federal University, 2016, 5 (2), pp.5-13 http://arcticjournal.s-vfu.ru/site/arktikaestnauki 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 info:eu-repo/semantics/article Journal articles 2016 ftunivnantes 2022-08-10T07:22:51Z 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. Article in Journal/Newspaper lena river Yakutsk Université de Nantes: HAL-UNIV-NANTES Yakutsk |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
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 |
spellingShingle |
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 Rollot, Romain Gadal, Sébastien Danilov, Yuri Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) |
topic_facet |
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 |
description |
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. |
author2 |
Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE) Université Nice Sophia Antipolis (1965 - 2019) (UNS) COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-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 |
author |
Rollot, Romain Gadal, Sébastien Danilov, Yuri |
author_facet |
Rollot, Romain Gadal, Sébastien Danilov, Yuri |
author_sort |
Rollot, Romain |
title |
Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) |
title_short |
Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) |
title_full |
Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) |
title_fullStr |
Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) |
title_full_unstemmed |
Remote sensing and GIS’S multi-criteria analysis of urban flooding debacle exposure of Yakutsk (Lena River, Russia) |
title_sort |
remote sensing and gis’s multi-criteria analysis of urban flooding debacle exposure of yakutsk (lena river, russia) |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.archives-ouvertes.fr/hal-01349833 |
geographic |
Yakutsk |
geographic_facet |
Yakutsk |
genre |
lena river Yakutsk |
genre_facet |
lena river Yakutsk |
op_source |
ISSN: 2310-5453 Арктика XXI век: Естественные науки https://hal.archives-ouvertes.fr/hal-01349833 Арктика XXI век: Естественные науки, North Eastern Federal University, 2016, 5 (2), pp.5-13 http://arcticjournal.s-vfu.ru/site/arktikaestnauki |
op_relation |
hal-01349833 https://hal.archives-ouvertes.fr/hal-01349833 |
_version_ |
1766063089901371392 |