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

Долгосрочное геоинформационное моделирование риска лесных пожаров в Республике Саха (Российская Федерация)

Pior Janiec (1, 2, 3) , Sébastien Gadal (2, 1)

1 AMU - Aix Marseille Université
2 ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace
3 North-Eastern Federal University

Keywords: Fire forest; Long-term modelling times; Remote sensing; Probabilist model; Yakutia; Arctic; Russia; Risk exposure

Domains: Computer Science [cs]; Image Processing [eess.IV]; Humanities and Social Sciences; Methods and statistics; Environmental Sciences; Environmental and Society; Humanities and Social Sciences; Geography; Computer Science [cs]; Modeling and Simulation

Pior Janiec, Sébastien Gadal. Долгосрочное геоинформационное моделирование риска лесных пожаров в Республике Саха (Российская Федерация). GIS Yakutsk 2019: GIS for Digital Development, NEFU, Apr 2019, Yakutsk, Russia. ⟨hal-02101011⟩