Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 3, pp. 91-98
Regional scale optimization of wildfire model parameters and modeling of wildfire dynamic using remote sensing data
S.A. Khvostikov
1, I.V. Balashov
2, S.A. Bartalev
2, V.Yu. Efremov
2, E.A. Loupian
21 Russian Academy of Sciences' Space Research Institute Moscow State Institute of Electronics and Mathematics, 117997 Moscow, 84/32 Profsoyuznaya str 109028 Moscow, 3, Bolshoy Trehsvjatitel'skij per
2 Russian Academy of Sciences' Space Research Institute, 117997 Moscow, 84/32 Profsoyuznaya str
The article describes method and results of forest fire model CFFBPS regional optimization for the territory of Russia. The optimization was performed on a representative samples of wildfires, which daily dynamic was obtained using MODIS satellite data. Еру model performance was tested for more than 40000 fires on territory of Russia for years 2007-2011, using special correspondence criteria between modeled and satellite data derived burned area. The optimised model parameters significantly improved model quality for wildfires in Russia. The optimized model was used as a basis for a fire dynamic forecasting subsystem of Informational System of Remote Monitoring of Forest Fires (ISDM-Rosleskhoz). The system's web-interface allows users to model wildfire dynamic and to adjust some of model input data and parameters.
Keywords: forest fires, dynamic modeling, optimisation, remote sensing
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