Long-term geoinformation modeling of forest fire risk in the Republic of Sakha (Russian Federation)

• Main Authors: Janiec, Pior, Gadal, Sébastien
• 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, Polar Urban Centers PUR, NEFU
• Format: Conference Object
• Language: Russian
• Published: HAL CCSD 2019
• Subjects: Fire forest; Long-term modelling times; Remote sensing; Probabilist model; Yakutia; Arctic; Russia; Risk exposure; [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; Sakha; Yakutsk; Republic of Sakha; Саха
• Online Access: https://amu.hal.science/hal-02101011; https://amu.hal.science/hal-02101011/document; https://amu.hal.science/hal-02101011/file/GIS-YKS-2019-Janiec-Gadal.pdf

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