Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk

• Main Authors: Gadal, Sébastien, Ouerghemmi, Walid
• Other Authors: Étude 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)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2018
• Subjects: OBIA; Multiband imagery; Object recognition; Geometric attributes; Morphometric rules; Built-ups; socio-economic uses; Urban sprawl; SPOT 6; Sentinel 2; Yakutsk; Sub-arctic; Russia; Image analysis; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [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; Arctic
• Online Access: https://amu.hal.science/hal-01826892

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.