Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks

Baranovskiy, Nikolay Viktorovich

dec. de 2019 · IGI Global

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To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries.

Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.

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Nikolay Viktorovich Baranovskiy received Specialist Degree in Mechanics from Tomsk State University in 2000. He received PhD Degree in Physics and Mathematics from Tomsk State University in 2007. His current position is Associate Professor at Tomsk Polytechnic University. His current interests include forest fire danger and ecological impact prediction, parallel computing and spatial data analysis using GIS and RS technologies. Prof. Baranovskiy is a Member of International Association of Wildland Fire, Association for Fire Ecology, International Association for Fire Safety Science, and International Association of Engineers. He is an author of more than 150 articles and papers in Russian and International Journals.

[Editor]