A procedure for integrated assessment of landscape fire risk using remote sensing data

1Kostyuchenko, Yu.V, 2Yushchenko, MV, 3Kopachevsky, IM, 4Levynsky, S
1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
2State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
3State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Science of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
4Space Research Centre of the Polish Academy of Sciences, Wroclaw, Poland
Kosm. nauka tehnol. 2011, 17 ;(6):30-44
https://doi.org/10.15407/knit2011.06.030
Publication Language: Ukrainian
Abstract: 
We propose an approach to the assessment of landscape fire risk which allows one, within the framework of a comprehensive methodology, to take into account the impact of different components, such as traditional factors causing emergencies in a region, long-term climate and environmental changes, changes in meteorological parameters, and changes in regional ecosystems and nature management (which reflected, in particular, on the dynamics of natural fuels). We propose in direct form an equation for variability of meteorological conditions as well as an analysis of natural fuel accumulation and its dynamics properties. The relationship is analyzed between variables of basic equations of the risk model and satellite indicators that can be used in model calculations. A list of the most suitable existing indicators is created. We propose to take into account the probability of false interpretation of remote sensing data in analyzing the complex risk of landscape fires. The integrated approach proposed includes also air pollution risk and social risk connected with landscape fires. Our results can be used for the development of a comprehensive procedure for multi-term (including long-term) regional fire risk assessment.
Keywords: ecosystems, landscape fire, meteorological parameters
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