Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk
International audience Recognition and characterisation of built-ups in the Siberian sub-Arctic urban territories as Yakutsk are dependant of two main factors: (1) season (snow and ice from October to the end of April, the flooding period in May, and the summertime), which influence the accuracy of...
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ftccsdartic:oai:HAL:hal-01826892v1 2023-05-15T14:50:55+02:00 Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk Gadal, Sébastien Ouerghemmi, Walid 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) Montpellier, France 2018-06-20 https://hal-amu.archives-ouvertes.fr/hal-01826892 en eng HAL CCSD hal-01826892 https://hal-amu.archives-ouvertes.fr/hal-01826892 GEOBIA 2018: From pixels to ecosystems and global sustainability https://hal-amu.archives-ouvertes.fr/hal-01826892 GEOBIA 2018: From pixels to ecosystems and global sustainability, Jun 2018, Montpellier, France https://www.geobia2018.com/ Image analysis OBIA Multiband imagery Object recognition Geometric attributes Morphometric rules Built-ups socio-economic uses Urban sprawl SPOT 6 Sentinel 2 Yakutsk Sub-arctic Russia [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/conferenceObject Conference papers 2018 ftccsdartic 2021-12-12T03:19:23Z International audience Recognition and characterisation of built-ups in the Siberian sub-Arctic urban territories as Yakutsk are dependant of two main factors: (1) season (snow and ice from October to the end of April, the flooding period in May, and the summertime), which influence the accuracy of urban objects detection. (2) Urban structure, which influence the morphological recognition and characterisation of built-ups. In this study, high repetitiveness remote sensing Sentinel-2 and SPOT 6 high-resolution satellite images are combined to characterise and detect urban built-ups over Yakutsk city. High temporal resolution of Sentinel-2 allows land use change detection and metric spatial resolution of SPOT 6 allows the characterisation of built-ups socio-economic functions and uses. Conference Object Arctic 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 |
Image analysis OBIA Multiband imagery Object recognition Geometric attributes Morphometric rules Built-ups socio-economic uses Urban sprawl SPOT 6 Sentinel 2 Yakutsk Sub-arctic Russia [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 |
Image analysis OBIA Multiband imagery Object recognition Geometric attributes Morphometric rules Built-ups socio-economic uses Urban sprawl SPOT 6 Sentinel 2 Yakutsk Sub-arctic Russia [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 Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk |
topic_facet |
Image analysis OBIA Multiband imagery Object recognition Geometric attributes Morphometric rules Built-ups socio-economic uses Urban sprawl SPOT 6 Sentinel 2 Yakutsk Sub-arctic Russia [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 characterisation of built-ups in the Siberian sub-Arctic urban territories as Yakutsk are dependant of two main factors: (1) season (snow and ice from October to the end of April, the flooding period in May, and the summertime), which influence the accuracy of urban objects detection. (2) Urban structure, which influence the morphological recognition and characterisation of built-ups. In this study, high repetitiveness remote sensing Sentinel-2 and SPOT 6 high-resolution satellite images are combined to characterise and detect urban built-ups over Yakutsk city. High temporal resolution of Sentinel-2 allows land use change detection and metric spatial resolution of SPOT 6 allows the characterisation of built-ups socio-economic functions and uses. |
author2 |
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) |
format |
Conference Object |
author |
Gadal, Sébastien Ouerghemmi, Walid |
author_facet |
Gadal, Sébastien Ouerghemmi, Walid |
author_sort |
Gadal, Sébastien |
title |
Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk |
title_short |
Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk |
title_full |
Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk |
title_fullStr |
Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk |
title_full_unstemmed |
Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk |
title_sort |
multi-level morphometric characterisation of built-ups in siberian sub-arctic urban area: yakutsk |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal-amu.archives-ouvertes.fr/hal-01826892 |
op_coverage |
Montpellier, France |
geographic |
Arctic Yakutsk |
geographic_facet |
Arctic Yakutsk |
genre |
Arctic Yakutsk |
genre_facet |
Arctic Yakutsk |
op_source |
GEOBIA 2018: From pixels to ecosystems and global sustainability https://hal-amu.archives-ouvertes.fr/hal-01826892 GEOBIA 2018: From pixels to ecosystems and global sustainability, Jun 2018, Montpellier, France https://www.geobia2018.com/ |
op_relation |
hal-01826892 https://hal-amu.archives-ouvertes.fr/hal-01826892 |
_version_ |
1766321969690574848 |