Information-algorithmic basis of a program complex for forest fire danger estimation

Marina V. Engel, Vladimir V. Belov, Nikolay V. Baranovskiy, Elena P. Yankovich

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

Abstract

Present work is devoted to the description of information and algorithmic support for creation of a program complex for an assessment of forest fire danger. The assessment of forest fire danger is made on the basis of algorithm for classification of the forest territory by vegetation conditions and the modified Nesterov's index. Meteorological data (air temperature and cloudiness) and also the data on thermal anomalies received from satellite measurements by MODIS spectroradiometer for the territory of the Timiryazevskiy forestry of the Tomsk region are used as information on the Environment state.

Original languageEnglish
Title of host publication22nd International Symposium on Atmospheric and Ocean Optics
Subtitle of host publicationAtmospheric Physics
PublisherSPIE
Volume10035
ISBN (Electronic)9781510605114
DOIs
Publication statusPublished - 2016
Event22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Russian Federation
Duration: 30 Jun 20163 Jul 2016

Conference

Conference22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
CountryRussian Federation
CityTomsk
Period30.6.163.7.16

Keywords

  • Assessment
  • Danger
  • Forest fire
  • MODIS
  • Remote sensing
  • Sunlight

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

    Engel, M. V., Belov, V. V., Baranovskiy, N. V., & Yankovich, E. P. (2016). Information-algorithmic basis of a program complex for forest fire danger estimation. In 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Vol. 10035). [100353Z] SPIE. https://doi.org/10.1117/12.2249125