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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ftanrparis:oai:HAL:hal-03201641v1 2024-09-30T14:30:01+00:00 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 Nice Sophia Antipolis (1965 - 2019) (UNS)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA) Aix Marseille Université (AMU) Kaunas University of Technology (KTU) CNRS PEPS INEE RICOCHET FMSH-RFBR OSAMA EGU ANR-15-CE22-0006,PUR,Pôles URbains(2015) 2021-04-19 https://hal.science/hal-03201641 https://hal.science/hal-03201641/document https://hal.science/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.science/hal-03201641 https://hal.science/hal-03201641/document https://hal.science/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 EGU General Assembly 2021 https://hal.science/hal-03201641 EGU General Assembly 2021, pp.16268, 2021, ⟨10.5194/egusphere-egu21-16268⟩ Environmental vulnerability Spatial Modeling Urban centers Remote sensing Mapping Local knowledge Landscape Arctic Russia Yakutia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE.ES]Environmental Sciences/Environment and Society [SHS.GEO]Humanities and Social Sciences/Geography info:eu-repo/semantics/other Proceedings 2021 ftanrparis https://doi.org/10.5194/egusphere-egu21-16268 2024-09-11T23:45:10Z 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 Portail HAL-ANR (Agence Nationale de la Recherche) Arctic Yakutsk |
institution |
Open Polar |
collection |
Portail HAL-ANR (Agence Nationale de la Recherche) |
op_collection_id |
ftanrparis |
language |
English |
topic |
Environmental vulnerability Spatial Modeling Urban centers Remote sensing Mapping Local knowledge Landscape Arctic Russia Yakutia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE.ES]Environmental Sciences/Environment and Society [SHS.GEO]Humanities and Social Sciences/Geography |
spellingShingle |
Environmental vulnerability Spatial Modeling Urban centers Remote sensing Mapping Local knowledge Landscape Arctic Russia Yakutia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE.ES]Environmental Sciences/Environment and Society [SHS.GEO]Humanities and Social Sciences/Geography 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 Yakutia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDE.ES]Environmental Sciences/Environment and Society [SHS.GEO]Humanities and Social Sciences/Geography |
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 Nice Sophia Antipolis (1965 - 2019) (UNS)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA) Aix Marseille Université (AMU) Kaunas University of Technology (KTU) 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.science/hal-03201641 https://hal.science/hal-03201641/document https://hal.science/hal-03201641/file/EGU21-16268-print.pdf https://doi.org/10.5194/egusphere-egu21-16268 |
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.science/hal-03201641 EGU General Assembly 2021, pp.16268, 2021, ⟨10.5194/egusphere-egu21-16268⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/egusphere-egu21-16268 hal-03201641 https://hal.science/hal-03201641 https://hal.science/hal-03201641/document https://hal.science/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_doi |
https://doi.org/10.5194/egusphere-egu21-16268 |
_version_ |
1811635123646365696 |