Remote Sensing of Mountain Permafrost Landscape by Multi-Fusion Data Modeling. Example of Verkhoyansk Ridge (Russia)

• Main Authors: Gadal, Sébastien, Zakharov, Moisei, Ivanovich, Danilov, Yuri, Kamičaitytė, Jūratė
• Other Authors: Aix Marseille Université (AMU), Études 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), North-Eastern Federal University, Kaunas University of Technology (KTU), Polar Urban Centers PUR, IEEE International Geoscience and Remote Sensing Symposium, CNRS PEPS RICOCHET
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2020
• Subjects: Russia; Verkhoyansk; Sentinel 2; Multi-fusion methods; Land surface temperature; Landform classification; Permafrost landscape mapping; Permafrost mountains; Arctic; Support vector Machine; ASTER; Landsat 8 TIRS; [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; permafrost
• Online Access: https://hal.science/hal-02951488; https://hal.science/hal-02951488/document; https://hal.science/hal-02951488/file/0003082.pdf

International audience Mapping of permafrost mountain landscape of Verkhoyansk in the Arctic zone is based on the recognition by remote sensing and GIS modeling of the landscape permafrost-objects resulting from the combination of the Milkov’s taxonomic classifications. The methodology developed int...