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

International audience 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 exp...

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Main Authors: GADAL, Sébastien, Zakharov, Moisei, Kamicaityte, Jurate, Savvinova, Antonina, Danilov, Yuri
Other Authors: North-Eastern Federal University, Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Côte d'Azur (UCA)-Avignon Université (AU)-Université Nice Sophia Antipolis (. - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Aix Marseille Université (AMU), Kaunas University of Technology (KTU), European Geosciences Union, CNRS PEPS INEE RICOCHET, FMSH-RFBR OSAMA, EGU, ANR-15-CE22-0006,PUR,Pôles URbains(2015)
Format: Conference Object
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-03201641
https://hal.archives-ouvertes.fr/hal-03201641/document
https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf
https://doi.org/10.5194/egusphere-egu21-16268
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spelling ftccsdartic:oai:HAL:hal-03201641v1 2023-05-15T14:51:38+02:00 Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge GADAL, Sébastien Zakharov, Moisei Kamicaityte, Jurate Savvinova, Antonina Danilov, Yuri North-Eastern Federal University Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE) Université Côte d'Azur (UCA)-Avignon Université (AU)-Université Nice Sophia Antipolis (. - 2019) (UNS) COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU) Aix Marseille Université (AMU) Kaunas University of Technology (KTU) European Geosciences Union CNRS PEPS INEE RICOCHET FMSH-RFBR OSAMA EGU ANR-15-CE22-0006,PUR,Pôles URbains(2015) Göttingen, Germany 2021-04-19 https://hal.archives-ouvertes.fr/hal-03201641 https://hal.archives-ouvertes.fr/hal-03201641/document https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf https://doi.org/10.5194/egusphere-egu21-16268 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.5194/egusphere-egu21-16268 hal-03201641 https://hal.archives-ouvertes.fr/hal-03201641 https://hal.archives-ouvertes.fr/hal-03201641/document https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf doi:10.5194/egusphere-egu21-16268 http://creativecommons.org/licenses/by-nc-nd/ info:eu-repo/semantics/OpenAccess CC-BY-NC-ND EGU General Assembly 2021 https://hal.archives-ouvertes.fr/hal-03201641 EGU General Assembly 2021, European Geosciences Union, Apr 2021, Göttingen, Germany. pp.16268, ⟨10.5194/egusphere-egu21-16268⟩ https://www.egu21.eu/ Environmental vulnerability Spatial Modeling Urban centers Remote sensing Mapping Local knowledge Landscape Arctic Russia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [SDE.ES]Environmental Sciences/Environmental and Society [SHS.GEO]Humanities and Social Sciences/Geography [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] info:eu-repo/semantics/conferenceObject Conference papers 2021 ftccsdartic https://doi.org/10.5194/egusphere-egu21-16268 2021-12-12T00:34:25Z International audience 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. Conference Object Arctic Climate change lena river permafrost Yakutia Yakutsk Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Yakutsk
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic Environmental vulnerability
Spatial Modeling
Urban centers
Remote sensing
Mapping
Local knowledge
Landscape
Arctic
Russia
[SHS.STAT]Humanities and Social Sciences/Methods and statistics
[SDE.ES]Environmental Sciences/Environmental and Society
[SHS.GEO]Humanities and Social Sciences/Geography
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
spellingShingle Environmental vulnerability
Spatial Modeling
Urban centers
Remote sensing
Mapping
Local knowledge
Landscape
Arctic
Russia
[SHS.STAT]Humanities and Social Sciences/Methods and statistics
[SDE.ES]Environmental Sciences/Environmental and Society
[SHS.GEO]Humanities and Social Sciences/Geography
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
GADAL, Sébastien
Zakharov, Moisei
Kamicaityte, Jurate
Savvinova, Antonina
Danilov, Yuri
Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge
topic_facet Environmental vulnerability
Spatial Modeling
Urban centers
Remote sensing
Mapping
Local knowledge
Landscape
Arctic
Russia
[SHS.STAT]Humanities and Social Sciences/Methods and statistics
[SDE.ES]Environmental Sciences/Environmental and Society
[SHS.GEO]Humanities and Social Sciences/Geography
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
description International audience 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.
author2 North-Eastern Federal University
Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE)
Université Côte d'Azur (UCA)-Avignon Université (AU)-Université Nice Sophia Antipolis (. - 2019) (UNS)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Aix Marseille Université (AMU)
Kaunas University of Technology (KTU)
European Geosciences Union
CNRS PEPS INEE RICOCHET
FMSH-RFBR OSAMA
EGU
ANR-15-CE22-0006,PUR,Pôles URbains(2015)
format Conference Object
author GADAL, Sébastien
Zakharov, Moisei
Kamicaityte, Jurate
Savvinova, Antonina
Danilov, Yuri
author_facet GADAL, Sébastien
Zakharov, Moisei
Kamicaityte, Jurate
Savvinova, Antonina
Danilov, Yuri
author_sort GADAL, Sébastien
title Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge
title_short Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge
title_full Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge
title_fullStr Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge
title_full_unstemmed Environmental Vulnerability Modeling in the Extensively Urbanized Arctic Center Integrating Remote Sensing, Landscape Mapping, and Local Knowledge
title_sort environmental vulnerability modeling in the extensively urbanized arctic center integrating remote sensing, landscape mapping, and local knowledge
publisher HAL CCSD
publishDate 2021
url https://hal.archives-ouvertes.fr/hal-03201641
https://hal.archives-ouvertes.fr/hal-03201641/document
https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf
https://doi.org/10.5194/egusphere-egu21-16268
op_coverage Göttingen, Germany
geographic Arctic
Yakutsk
geographic_facet Arctic
Yakutsk
genre Arctic
Climate change
lena river
permafrost
Yakutia
Yakutsk
genre_facet Arctic
Climate change
lena river
permafrost
Yakutia
Yakutsk
op_source EGU General Assembly 2021
https://hal.archives-ouvertes.fr/hal-03201641
EGU General Assembly 2021, European Geosciences Union, Apr 2021, Göttingen, Germany. pp.16268, ⟨10.5194/egusphere-egu21-16268⟩
https://www.egu21.eu/
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/egusphere-egu21-16268
hal-03201641
https://hal.archives-ouvertes.fr/hal-03201641
https://hal.archives-ouvertes.fr/hal-03201641/document
https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf
doi:10.5194/egusphere-egu21-16268
op_rights http://creativecommons.org/licenses/by-nc-nd/
info:eu-repo/semantics/OpenAccess
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.5194/egusphere-egu21-16268
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