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

Abstract : 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.
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https://hal-amu.archives-ouvertes.fr/hal-01826892
Contributor : Sébastien Gadal <>
Submitted on : Saturday, June 30, 2018 - 9:31:18 AM
Last modification on : Tuesday, October 13, 2020 - 3:10:45 AM

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  • HAL Id : hal-01826892, version 1

Citation

Sébastien Gadal, Walid Ouerghemmi. Multi-Level Morphometric Characterisation of Built-ups in Siberian Sub-Arctic Urban Area: Yakutsk. GEOBIA 2018: From pixels to ecosystems and global sustainability, Jun 2018, Montpellier, France. ⟨hal-01826892⟩

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