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Improvement of the Classification Method for the Fire Hazard Level in Forests Using Meteorological and Aerospace Data

https://doi.org/10.35596/1729-7648-2022-20-6-85-93

Abstract

The article proposes improvements to the method for determining the fire hazard level in forests based on predictive meteorological and aerospace data. A brief analysis of various methods for the fire hazard level determining in forests and the sets of initial parameters used in this case was carried out in order to determine the final method's optimal characteristics and properties for further application. The calculation of the fire hazard assessment is based on the flammability basic indicator according to weather conditions and correction factors based on the vegetation indices values. Vegetation indices division into quartiles is proposed for a vegetation relative assessment in the territory under consideration. Maps of the forest blocks distribution by fire hazard classes for the Volozhinsky forestry enterprise territory were obtained according to the proposed and other methods. A comparative analysis of the numerical and spatial characteristics of the obtained assessments of forests fire hazard using various methods was carried out. According to the improved methodology assessment results, its application results correlate with the assessment according to the standardized methodology, but adjusted according to the vegetation assessment results. It is advisable to verify the proposed methodology during a fire hazard period in real conditions, followed by an assessment of the results and refinement if necessary.

About the Authors

A. K. Labokha
Belarusian State University of Informatics and Radioelectronics
Belarus

Labokha A.K., M. Sci., Assistant

220013, Minsk, P. Brovka St., 6, tel. +375 17 293-84-63



A. Yu. Shamyna
Belarusian State University of Informatics and Radioelectronics
Belarus

Shamyna A.Yu., M. Sci., Senior Lecturer



A. D. Ardyako
Belarusian State University of Informatics and Radioelectronics
Belarus

Ardyako A.D., M. Sci., Postgraduate



References

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2. Cherepanov A.S. [Vegetation indexes]. Geomatika. 2011;2:98-102. (In Russ.)

3. Chowdhury E.H.; Hassan Q.K. Development of a New Daily-Scale Forest Fire Danger Forecasting System Using Remote Sensing Data. Remote Sens. 2015;7:2431-2448. DOI: 10.3390/rs70302431

4. Pushkin A.A., Sidel'nik N.YA., Kovalevskij S.V. [Use of space imagery materials for assessing fire hazard in forests]. Trudy BGТU. 2015;1(174):36-40. (In Russ.)

5. Delgado-Bonal A., Marshak A., Yang Y., Oreopoulos L. Cloud Height Daytime Variability From DSCOVR/EPIC and GOES-R/ABI Observations. Frontiers in Remote Sensing. 2022;3:780243. DOI: 10.3389/frsen.2022.780243


Review

For citations:


Labokha A.K., Shamyna A.Yu., Ardyako A.D. Improvement of the Classification Method for the Fire Hazard Level in Forests Using Meteorological and Aerospace Data. Doklady BGUIR. 2022;20(6):85-93. (In Russ.) https://doi.org/10.35596/1729-7648-2022-20-6-85-93

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)