Multi-Level Morphometric Characterization of Built-up Areas and Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk

• Published in: ISPRS international journal of geo-information Vol. 8; no. 3; p. 129
• Main Authors: Gadal, Sébastien, Ouerghemmi, Walid
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2019; MDPI
• Subjects: architecture and urbanism; built-ups structures; Change detection; Classification; Computer Science; Detection; Environment and Society; Environmental Sciences; Flooding; Geography; geometric attributes morphometric rules; Humanities and Social Sciences; image analysis; Image Processing; Image resolution; Land use; Methods and statistics; Modeling and Simulation; Morphology; Morphometry; multiband imagery; Object recognition; Polar environments; Principal components analysis; Remote sensing; Resolution; Rivers; Satellite imagery; Satellites; Socioeconomic factors; socioeconomic functions; Spaceborne remote sensing; Spatial discrimination; Spatial resolution; Temporal resolution; Urban areas; urban sprawl; Urban structures; Urbanization; Arctic region; Lena River; Russia; Yakutsk; Image analysis; Socioeconomic functions; Geometric attributes morphometric rules; Built-ups structures; Architecture and urbanism; Urban sprawl; Object recognition; Arctic; Multiband imagery; Russia
• ISSN: 2220-9964; 2220-9964
• DOI: 10.3390/ijgi8030129

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.