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

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

Результат исследования: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

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.

Язык оригиналаАнглийский
Заголовок главной публикации22nd International Symposium on Atmospheric and Ocean Optics
Подзаголовок главной публикацииAtmospheric Physics
ИздательSPIE
Том10035
ISBN (электронная версия)9781510605114
DOI
Статус публикацииОпубликовано - 2016
Событие22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Российская Федерация
Длительность: 30 июн 20163 июл 2016

Конференция

Конференция22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
СтранаРоссийская Федерация
ГородTomsk
Период30.6.163.7.16

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ASJC Scopus subject areas

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

Цитировать

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. В 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Том 10035). [100353Z] SPIE. https://doi.org/10.1117/12.2249125