Spatial modelling of the Arctic metapolis: Yakutsk
International audience The process of metropolisation of Yakutsk is one of the most unique geographic phenomena. Since the end of the Soviet Union, the city of 193000 inhabitants growing fastly to cross in 2021 up to 33000 people covering today almost 1 million square kilometres in the extreme Arcti...
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ftunivavignon:oai:HAL:hal-03502208v1 2024-06-23T07:49:40+00:00 Spatial modelling of the Arctic metapolis: Yakutsk Gadal, Sébastien Oukhattar, Mounir Kamičaitytė, Jūratė Zakharov, Moisei Ouerghemmi, W. 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) Centre National de la Recherche Scientifique (CNRS) North Eastern Federal University Yuri Danilov CNES AIM-CEE ANR-15-CE22-0006,PUR,Pôles URbains(2015) Yakutsk, Russia 2021-12-02 https://hal.science/hal-03502208 en eng HAL CCSD North Eastern Federal University hal-03502208 https://hal.science/hal-03502208 http://creativecommons.org/licenses/by-nc/ GIS for Digital Development 2021: Application of GIS and Remote Sensing in Science and Management https://hal.science/hal-03502208 GIS for Digital Development 2021: Application of GIS and Remote Sensing in Science and Management, North Eastern Federal University, Dec 2021, Yakutsk, Russia https://www.gisykt.ru/ Metropolisation Adaptation Simulation Urban change modelling Global warming Multi-level analysis Extreme environment Remote Sensing Machine learning Deep learning Yakutsk Arctic Russia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [SDE.ES]Environmental Sciences/Environment 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 ftunivavignon 2024-06-10T23:49:39Z International audience The process of metropolisation of Yakutsk is one of the most unique geographic phenomena. Since the end of the Soviet Union, the city of 193000 inhabitants growing fastly to cross in 2021 up to 33000 people covering today almost 1 million square kilometres in the extreme Arctic environment and climate. The population of the Yakutsk metropolis developed strategies of adaptation we are going to analyse. Scenarios of possible transformations of the metropolis including the impacts of global warming have been developed at different scales and temporalities (Landsat Series, Sentinel 2, DMSP, and VIIRS) based on machine learning and deep learning processing. Conference Object Arctic Global warming Yakutsk Université d'Avignon et des Pays de Vaucluse: HAL Arctic Yakutsk |
institution |
Open Polar |
collection |
Université d'Avignon et des Pays de Vaucluse: HAL |
op_collection_id |
ftunivavignon |
language |
English |
topic |
Metropolisation Adaptation Simulation Urban change modelling Global warming Multi-level analysis Extreme environment Remote Sensing Machine learning Deep learning Yakutsk Arctic Russia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [SDE.ES]Environmental Sciences/Environment 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 |
Metropolisation Adaptation Simulation Urban change modelling Global warming Multi-level analysis Extreme environment Remote Sensing Machine learning Deep learning Yakutsk Arctic Russia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [SDE.ES]Environmental Sciences/Environment 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 Oukhattar, Mounir Kamičaitytė, Jūratė Zakharov, Moisei Ouerghemmi, W. Spatial modelling of the Arctic metapolis: Yakutsk |
topic_facet |
Metropolisation Adaptation Simulation Urban change modelling Global warming Multi-level analysis Extreme environment Remote Sensing Machine learning Deep learning Yakutsk Arctic Russia [SHS.STAT]Humanities and Social Sciences/Methods and statistics [SDE.ES]Environmental Sciences/Environment 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 The process of metropolisation of Yakutsk is one of the most unique geographic phenomena. Since the end of the Soviet Union, the city of 193000 inhabitants growing fastly to cross in 2021 up to 33000 people covering today almost 1 million square kilometres in the extreme Arctic environment and climate. The population of the Yakutsk metropolis developed strategies of adaptation we are going to analyse. Scenarios of possible transformations of the metropolis including the impacts of global warming have been developed at different scales and temporalities (Landsat Series, Sentinel 2, DMSP, and VIIRS) based on machine learning and deep learning processing. |
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) Centre National de la Recherche Scientifique (CNRS) North Eastern Federal University Yuri Danilov CNES AIM-CEE ANR-15-CE22-0006,PUR,Pôles URbains(2015) |
format |
Conference Object |
author |
Gadal, Sébastien Oukhattar, Mounir Kamičaitytė, Jūratė Zakharov, Moisei Ouerghemmi, W. |
author_facet |
Gadal, Sébastien Oukhattar, Mounir Kamičaitytė, Jūratė Zakharov, Moisei Ouerghemmi, W. |
author_sort |
Gadal, Sébastien |
title |
Spatial modelling of the Arctic metapolis: Yakutsk |
title_short |
Spatial modelling of the Arctic metapolis: Yakutsk |
title_full |
Spatial modelling of the Arctic metapolis: Yakutsk |
title_fullStr |
Spatial modelling of the Arctic metapolis: Yakutsk |
title_full_unstemmed |
Spatial modelling of the Arctic metapolis: Yakutsk |
title_sort |
spatial modelling of the arctic metapolis: yakutsk |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03502208 |
op_coverage |
Yakutsk, Russia |
geographic |
Arctic Yakutsk |
geographic_facet |
Arctic Yakutsk |
genre |
Arctic Global warming Yakutsk |
genre_facet |
Arctic Global warming Yakutsk |
op_source |
GIS for Digital Development 2021: Application of GIS and Remote Sensing in Science and Management https://hal.science/hal-03502208 GIS for Digital Development 2021: Application of GIS and Remote Sensing in Science and Management, North Eastern Federal University, Dec 2021, Yakutsk, Russia https://www.gisykt.ru/ |
op_relation |
hal-03502208 https://hal.science/hal-03502208 |
op_rights |
http://creativecommons.org/licenses/by-nc/ |
_version_ |
1802640220504457216 |