[en] Recognition of urban structures of Yakutsk by Landsat 8 wintertime thermal images
Type de document
Auteur(s)
Est une partie de
Meeting
TRISHNA Days 2022 - 2022-03-22 / 2022-03-24 - Toulouse - France
Mots clés en
Computer Science [cs]/Image Processing [eess.IV]
Computer Science [cs]/Modeling and Simulation
Environmental Sciences/Environment and Society
Humanities and Social Sciences/Geography
Humanities and Social Sciences/Methods and statistics
Thermal imagery
Urban remote sensing
Urban heat island
Urban morphologies
Urban structures
Yakutsk
Winter time remote sensing
Arctic
Siberia
Mots clés fr
Date de publication
Langue du document
Anglais
Résumé
[en] The mapping of the thermalities of the city of Yakutsk between March 2018 and March 2022, in winter, makes it possible to highlight the different urban structures, morphologies (Soviet, post-Soviet districts, dachas, industrial zones, roads, avenues, airports, power plants, etc.), thermal levels and patterns : intensity of urban road traffic, etc.
Collection
Source
HAL
Type de ressource
Texte intégral
Est une version de
Licence
Distributed under a Creative Commons Attribution 4.0 International License
Citation bibliographique
Sébastien Gadal. Recognition of urban structures of Yakutsk by Landsat 8 wintertime thermal images. TRISHNA Days 2022, Mar 2022, Toulouse, France. , 2022. [hal-03620513]
Citer cette ressource
[en] Recognition of urban structures of Yakutsk by Landsat 8 wintertime thermal images,
dans Études nordiques,
consulté le 17 Avril 2025, https://etudes-nordiques.cnrs.fr/s/numenord/item/17680