Application of vegetation indices in fire hazard forecasting from satellite images

Vladimir A. Glagolev; Anna M. Zubareva

doi:10.1117/12.2645062

7 December 2022 Application of vegetation indices in fire hazard forecasting from satellite images

Proceedings Volume 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 123413U (2022) https://doi.org/10.1117/12.2645062
Event: 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia

Abstract

In this study, the processing of MODIS Terra and Aqua satellite imagery data was carried out for the assessment and forecast of fire danger according to weather conditions. The time periods and threshold values of the NDVI vegetation index were determined, at which the greatest number of fires occur during the fire hazard period in the territory of the Russian Far East from 2003 to 2016. A significant correlation of the NDVI vegetation index with the distribution of the number and rate of individual vegetation fires was revealed using the fire hazard season of 2016 as an example in the southern part of the Russian Far East. Statistical analysis of the time series of the vegetation index made it possible to obtain a regression equation for the change in daily air temperature and NDVI vegetation index values for predicting the spread of grass fires based on the MacArthur method in the Jewish Autonomous Region.

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Vladimir A. Glagolev and Anna M. Zubareva "Application of vegetation indices in fire hazard forecasting from satellite images", Proc. SPIE 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 123413U (7 December 2022); https://doi.org/10.1117/12.2645062

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KEYWORDS

Vegetation

Satellites

Earth observing sensors

Satellite imaging

Data modeling

Near infrared

Meteorological satellites

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