Japan Geoscience Union Meeting 2022

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS01] Environmental, Socio-Economic and Climatic Changes in Northern Eurasia

Thu. May 26, 2022 9:00 AM - 10:30 AM 106 (International Conference Hall, Makuhari Messe)

convener:Pavel Groisman(NC State University Research Scholar at NOAA National Centers for Environmental Information, Asheville, North Carolina, USA), convener:Shamil Maksyutov(National Institute for Environmental Studies), Dmitry A Streletskiy(George Washington University), convener:Elena Kukavskaya(V.N. Sukachev Institute of Forest of the Siberian Branch of the Russian Academy of Sciences - separate subdivision of the FRC KSC SB RAS), Chairperson:Shamil Maksyutov(National Institute for Environmental Studies), Pavel Groisman(NC State University Research Scholar at NOAA National Centers for Environmental Information, Asheville, North Carolina, USA), Dmitry A Streletskiy(George Washington University)

9:00 AM - 9:15 AM

[MIS01-01] Relationships between weather fire danger and biomass burning combustion efficiency from remote sensing data

*Evgeny Shvetsov1, Elena Kukavskaya1 (1.V.N. Sukachev Institute of Forest of the Siberian Branch of the Russian Academy of Sciences)

Keywords:fuel load, fire, FRP, fire weather index, Siberia

Fuel load and its moisture content are important factors that determine fire behavior in forest ecosystems. For instance, they determine combustion intensity and the amount of biomass burned during the fire. Lack of knowledge of the forest fuel loads and the combustion completeness depending on natural and weather factors leads to errors in fire emissions calculations. Remote sensing tools allow performing direct estimations of the amount of energy released during a fire, which is linearly related to the amount of biomass burned. Fire products generated by satellite systems such as MODIS or VIIRS contain such estimates of fire radiative power released during combustion process. At the same time, fire danger indices calculated using weather station data represent proxy to fuel moisture content. Together, these estimates make it possible to assess fuel loads and the combustion completeness and their relationships with the fuel moisture content. In this study we aim at estimation of dependencies between weather fire danger estimated using the Canadian Forest Fire Weather Index System that acts as a proxy to fuel moisture content and the amount of burned forest fuels estimated using MODIS active fire data in the Central Siberia (Angara region).
The study was supported by the Russian Foundation for Basic Research, Government of the Krasnoyarsk krai, the Krasnoyarsk Regional Foundation of Scientific and Scientific-Technical Support (grant #20-44-242004)