Relationships between weather fire danger and biomass burning combustion efficiency from remote sensing data

Evgeny Shvetsov; Elena Kukavskaya

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[E] 口頭発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

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

2022年5月26日(木) 09:00 〜 10:30 106 (幕張メッセ国際会議場)

コンビーナ:Pavel Groisman(NC State University Research Scholar at NOAA National Centers for Environmental Information, Asheville, North Carolina, USA)、コンビーナ:Maksyutov Shamil(National Institute for Environmental Studies)、Streletskiy Dmitry A(George Washington University)、コンビーナ:Kukavskaya Elena(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)、Groisman Pavel(NC State University Research Scholar at NOAA National Centers for Environmental Information, Asheville, North Carolina, USA)、Dmitry A Streletskiy(George Washington University)

09:00 〜 09:15

[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)

キーワード：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)