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

Piotr Janiec; Sébastien Gadal

Conference papers

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

Piotr Janiec ^{1, 2, 3} Sébastien Gadal ^{3, 2}

1 North-Eastern Federal University

2 AMU - Aix Marseille Université

3 ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace

Abstract : 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.

Keywords : Siberia Remote sensing Risk modeling GIS Multi-scale analysis Yakutia Wildfires

Document type :

Conference papers

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-02164318
Contributor : Sébastien Gadal <>
Submitted on : Friday, September 6, 2019 - 11:48:16 PM
Last modification on : Tuesday, October 13, 2020 - 3:10:59 AM

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

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

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