Grassland fire spread simulation using NDVI data

Abstract

The purpose of this study is the use of remote sensing data on vegetative index NDVI (Normalized Difference Vegetation Index) for predicting the spread of grassfires in the example of the Jewish Autonomous Region (JAR). Calculation of specific daily indicators of climatic-caused fire hazard is carried out according to the method of V.G. Nesterov. To calculate the spread speed of the grassfire, the MacArthur method for meadow areas was used. Pictures of the MOD09GQK product in the red and near infrared channels were used to calculate the vegetative index NDVI, which is a quantitative index of photosynthetically active biomass.

Original language	English
Title of host publication	23rd International Symposium on Atmospheric and Ocean Optics
Subtitle of host publication	Atmospheric Physics
Editors	Gennadii G. Matvienko, Oleg A. Romanovskii
Publisher	SPIE
Volume	10466
ISBN (Electronic)	9781510614130
DOIs	https://doi.org/10.1117/12.2286782
Publication status	Published - 1 Jan 2017
Event	23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Russian Federation Duration: 3 Jul 2017 → 7 Jul 2017

Conference

Conference	23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Country	Russian Federation
City	Irkutsk
Period	3.7.17 → 7.7.17

Keywords

Danger
Grassland fire
NDVI
Remote sensing
Simulation

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2286782

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Cite this

Baranovskiy, N. V., Kogan, R. M., Glagolev, V. A., & Zubareva, A. M. (2017). Grassland fire spread simulation using NDVI data. In G. G. Matvienko, & O. A. Romanovskii (Eds.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Vol. 10466). [104663B] SPIE. https://doi.org/10.1117/12.2286782

Grassland fire spread simulation using NDVI data. / Baranovskiy, Nikolay V.; Kogan, Rita M.; Glagolev, Vladimir A.; Zubareva, Anna M.

23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ed. / Gennadii G. Matvienko; Oleg A. Romanovskii. Vol. 10466 SPIE, 2017. 104663B.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Baranovskiy, NV, Kogan, RM, Glagolev, VA & Zubareva, AM 2017, Grassland fire spread simulation using NDVI data. in GG Matvienko & OA Romanovskii (eds), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. vol. 10466, 104663B, SPIE, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Irkutsk, Russian Federation, 3.7.17. https://doi.org/10.1117/12.2286782

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abstract = "The purpose of this study is the use of remote sensing data on vegetative index NDVI (Normalized Difference Vegetation Index) for predicting the spread of grassfires in the example of the Jewish Autonomous Region (JAR). Calculation of specific daily indicators of climatic-caused fire hazard is carried out according to the method of V.G. Nesterov. To calculate the spread speed of the grassfire, the MacArthur method for meadow areas was used. Pictures of the MOD09GQK product in the red and near infrared channels were used to calculate the vegetative index NDVI, which is a quantitative index of photosynthetically active biomass.",

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