Grassland fire spread simulation using NDVI data

Nikolay V. Baranovskiy, Rita M. Kogan, Vladimir A. Glagolev, Anna M. Zubareva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publication23rd International Symposium on Atmospheric and Ocean Optics
Subtitle of host publicationAtmospheric Physics
EditorsGennadii G. Matvienko, Oleg A. Romanovskii
PublisherSPIE
Volume10466
ISBN (Electronic)9781510614130
DOIs
Publication statusPublished - 1 Jan 2017
Event23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Russian Federation
Duration: 3 Jul 20177 Jul 2017

Conference

Conference23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
CountryRussian Federation
CityIrkutsk
Period3.7.177.7.17

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

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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