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 Côte d'Azur (UCA)-Avignon Université (AU)-Université Nice Sophia Antipolis (. - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), 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/Environmental 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://hal-amu.archives-ouvertes.fr/hal-02101011; https://hal-amu.archives-ouvertes.fr/hal-02101011/document; https://hal-amu.archives-ouvertes.fr/hal-02101011/file/GIS-YKS-2019-Janiec-Gadal.pdf

International audience