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

Pior Janiec; Sébastien Gadal

Conference papers

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

Domain :

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

Complete list of metadatas

https://hal-amu.archives-ouvertes.fr/hal-02101011
Contributor : Sébastien Gadal <>
Submitted on : Tuesday, April 16, 2019 - 2:10:49 PM
Last modification on : Thursday, March 5, 2020 - 12:20:26 PM
Document(s) archivé(s) le : Wednesday, July 17, 2019 - 2:01:13 PM

GIS-YKS-2019-Janiec-Gadal.pdf

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