Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk
International audience Recognition and characterization of built-up areas in the Siberian sub-Arctic urban territories of Yakutsk are dependent on two main factors: (1) the season (snow and ice from October to the end of April, the flooding period in May, and the summertime), which influences the ac...
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ftccsdartic:oai:HAL:hal-02056619v1 2023-05-15T14:51:39+02:00 Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk Gadal, Sébastien Ouerghemmi, Walid Aix Marseille Université (AMU) 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) ANR-15-CE22-0006,PUR,Pôles URbains(2015) ANR-10-EQPX-0020,GEOSUD,GEOSUD : Infrastructure nationale d'imagerie satellitaire pour la recherche sur l'environnement et les territoires et ses applications à la gestion et aux politiques publiques(2010) 2019-03 https://hal.archives-ouvertes.fr/hal-02056619 https://hal.archives-ouvertes.fr/hal-02056619/document https://hal.archives-ouvertes.fr/hal-02056619/file/ijgi-08-00129.pdf https://doi.org/10.3390/ijgi8030129 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/ijgi8030129 hal-02056619 https://hal.archives-ouvertes.fr/hal-02056619 https://hal.archives-ouvertes.fr/hal-02056619/document https://hal.archives-ouvertes.fr/hal-02056619/file/ijgi-08-00129.pdf doi:10.3390/ijgi8030129 info:eu-repo/semantics/OpenAccess ISSN: 2220-9964 ISPRS International Journal of Geo-Information https://hal.archives-ouvertes.fr/hal-02056619 ISPRS International Journal of Geo-Information, MDPI, 2019, 8 (3), pp.129. ⟨10.3390/ijgi8030129⟩ Built-ups structures Geometric attributes morphometric rules Object recognition Architecture and urbanism Multiband imagery Image analysis Socioeconomic functions Yakutsk Russia Arctic Urban sprawl [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [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:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.3390/ijgi8030129 2021-12-12T02:48:07Z International audience Recognition and characterization of built-up areas in the Siberian sub-Arctic urban territories of Yakutsk are dependent on two main factors: (1) the season (snow and ice from October to the end of April, the flooding period in May, and the summertime), which influences the accuracy of urban object detection, and (2) the urban structure, which influences the morphological recognition and characterization of built-up areas. In this study, high repetitiveness remote sensing Sentinel-2A and SPOT 6 high-resolution satellite images were combined to characterize and detect urban built-up areas over the city of Yakutsk. High temporal resolution of Sentinel-2A allows land use change detection and metric spatial resolution of SPOT 6 allows the characterization of built-up areas' socioeconomic functions and uses. Article in Journal/Newspaper Arctic Yakutsk Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Yakutsk ISPRS International Journal of Geo-Information 8 3 129 |
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 |
Built-ups structures Geometric attributes morphometric rules Object recognition Architecture and urbanism Multiband imagery Image analysis Socioeconomic functions Yakutsk Russia Arctic Urban sprawl [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [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 |
spellingShingle |
Built-ups structures Geometric attributes morphometric rules Object recognition Architecture and urbanism Multiband imagery Image analysis Socioeconomic functions Yakutsk Russia Arctic Urban sprawl [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [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 Gadal, Sébastien Ouerghemmi, Walid Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk |
topic_facet |
Built-ups structures Geometric attributes morphometric rules Object recognition Architecture and urbanism Multiband imagery Image analysis Socioeconomic functions Yakutsk Russia Arctic Urban sprawl [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [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 |
description |
International audience Recognition and characterization of built-up areas in the Siberian sub-Arctic urban territories of Yakutsk are dependent on two main factors: (1) the season (snow and ice from October to the end of April, the flooding period in May, and the summertime), which influences the accuracy of urban object detection, and (2) the urban structure, which influences the morphological recognition and characterization of built-up areas. In this study, high repetitiveness remote sensing Sentinel-2A and SPOT 6 high-resolution satellite images were combined to characterize and detect urban built-up areas over the city of Yakutsk. High temporal resolution of Sentinel-2A allows land use change detection and metric spatial resolution of SPOT 6 allows the characterization of built-up areas' socioeconomic functions and uses. |
author2 |
Aix Marseille Université (AMU) 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) ANR-15-CE22-0006,PUR,Pôles URbains(2015) ANR-10-EQPX-0020,GEOSUD,GEOSUD : Infrastructure nationale d'imagerie satellitaire pour la recherche sur l'environnement et les territoires et ses applications à la gestion et aux politiques publiques(2010) |
format |
Article in Journal/Newspaper |
author |
Gadal, Sébastien Ouerghemmi, Walid |
author_facet |
Gadal, Sébastien Ouerghemmi, Walid |
author_sort |
Gadal, Sébastien |
title |
Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk |
title_short |
Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk |
title_full |
Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk |
title_fullStr |
Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk |
title_full_unstemmed |
Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk |
title_sort |
multi-level morphometric characterization of built-up areas and change detection in siberian sub-arctic urban area: yakutsk |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.archives-ouvertes.fr/hal-02056619 https://hal.archives-ouvertes.fr/hal-02056619/document https://hal.archives-ouvertes.fr/hal-02056619/file/ijgi-08-00129.pdf https://doi.org/10.3390/ijgi8030129 |
geographic |
Arctic Yakutsk |
geographic_facet |
Arctic Yakutsk |
genre |
Arctic Yakutsk |
genre_facet |
Arctic Yakutsk |
op_source |
ISSN: 2220-9964 ISPRS International Journal of Geo-Information https://hal.archives-ouvertes.fr/hal-02056619 ISPRS International Journal of Geo-Information, MDPI, 2019, 8 (3), pp.129. ⟨10.3390/ijgi8030129⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/ijgi8030129 hal-02056619 https://hal.archives-ouvertes.fr/hal-02056619 https://hal.archives-ouvertes.fr/hal-02056619/document https://hal.archives-ouvertes.fr/hal-02056619/file/ijgi-08-00129.pdf doi:10.3390/ijgi8030129 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/ijgi8030129 |
container_title |
ISPRS International Journal of Geo-Information |
container_volume |
8 |
container_issue |
3 |
container_start_page |
129 |
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1766322775392256000 |