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30 November 2017 Grassland fire spread simulation using NDVI data
Nikolay V. Baranovskiy, Rita M. Kogan, Vladimir A. Glagolev, Anna M. Zubareva
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Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 104663B (2017) https://doi.org/10.1117/12.2286782
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation
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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Nikolay V. Baranovskiy, Rita M. Kogan, Vladimir A. Glagolev, and Anna M. Zubareva "Grassland fire spread simulation using NDVI data", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104663B (30 November 2017); https://doi.org/10.1117/12.2286782
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Remote sensing
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