Long-Term Geoinformation Modeling Wildfire Risk in Republic of Sakha (Yakutia) (Russian Federation)

• Main Authors: Janiec, Piotr, Gadal, Sébastien
• Other Authors: North-Eastern Federal University, 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), NEFU
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2018
• Subjects: Wildfires; Remote sensing; Risk modeling; GIS; Multi-scale analysis; Yakutia; Siberia; [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
• Online Access: https://amu.hal.science/hal-02164318

International audience The article discusses the features of forest fires in Russia and Yakutia, their role in global warming, factors affecting forest fires, the structure of GIS for monitoring forest fires.