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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2021
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Online Access: | https://doi.org/10.5194/egusphere-egu21-16268 https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf https://hal.archives-ouvertes.fr/hal-03201641 |
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fttriple:oai:gotriple.eu:10670/1.hghh6j 2023-05-15T14:49:36+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 Nice Sophia Antipolis (. - 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)-Université Côte d'Azur (UCA) 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://doi.org/10.5194/egusphere-egu21-16268 https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf https://hal.archives-ouvertes.fr/hal-03201641 en eng HAL CCSD hal-03201641 doi:10.5194/egusphere-egu21-16268 10670/1.hghh6j https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf https://hal.archives-ouvertes.fr/hal-03201641 lic_creative-commons other Hyper Article en Ligne - Sciences de l'Homme et de la Société EGU General Assembly 2021 EGU General Assembly 2021, European Geosciences Union, Apr 2021, Göttingen, Germany. pp.16268, ⟨10.5194/egusphere-egu21-16268⟩ Environmental vulnerability Spatial Modeling Urban centers Remote sensing Mapping Local knowledge Landscape Arctic Russia envir geo Conference Output https://vocabularies.coar-repositories.org/resource_types/c_c94f/ 2021 fttriple https://doi.org/10.5194/egusphere-egu21-16268 2023-01-22T18:32:32Z 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. Other/Unknown Material Arctic Climate change lena river permafrost Yakutia Yakutsk Unknown Arctic Yakutsk |
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Open Polar |
collection |
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op_collection_id |
fttriple |
language |
English |
topic |
Environmental vulnerability Spatial Modeling Urban centers Remote sensing Mapping Local knowledge Landscape Arctic Russia envir geo |
spellingShingle |
Environmental vulnerability Spatial Modeling Urban centers Remote sensing Mapping Local knowledge Landscape Arctic Russia envir geo 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 envir geo |
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 (. - 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)-Université Côte d'Azur (UCA) 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 |
Other/Unknown Material |
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://doi.org/10.5194/egusphere-egu21-16268 https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf https://hal.archives-ouvertes.fr/hal-03201641 |
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 |
Hyper Article en Ligne - Sciences de l'Homme et de la Société EGU General Assembly 2021 EGU General Assembly 2021, European Geosciences Union, Apr 2021, Göttingen, Germany. pp.16268, ⟨10.5194/egusphere-egu21-16268⟩ |
op_relation |
hal-03201641 doi:10.5194/egusphere-egu21-16268 10670/1.hghh6j https://hal.archives-ouvertes.fr/hal-03201641/file/EGU21-16268-print.pdf https://hal.archives-ouvertes.fr/hal-03201641 |
op_rights |
lic_creative-commons other |
op_doi |
https://doi.org/10.5194/egusphere-egu21-16268 |
_version_ |
1766320690225479680 |