System analysis of weather fire danger in predicting large fires in Siberian forests

Тип публикации: статья из журнала

Год издания: 2011

Идентификатор DOI: 10.1134/S0001433811090143

Ключевые слова: satellite data, AVHRR, MODIS, moisture indices, meteorological data, snow cover fraction, vegetation types, fire prediction, Siberia, AVHRR, fire prediction, meteorological data, MODIS, moisture indices, satellite data, Siberia, snow cover fraction, vegetation types, atmospheric moisture, AVHRR, correlation, forest fire, MODIS, NOAA satellite, prediction, risk assessment, snow cover, vegetation type, Siberia

Аннотация: The prediction results of large-scale forest fire development are given for Siberia. To evaluate the fire risks, the Canadian Forest Fire Weather Index System (CFFWIS) and the Russian moisture indices (MI1 and MI2) were compared on the basis of the data of a network of meteorological stations as input weather parameters. Parameters of active fires were detected daily from the NOAA satellite data for the period of 1996-2008. To determine the length of the fire danger season, the snow cover fractions from Terra/MODIS data (2001-2008) were used. The features of fire development on territories with different types of flammable fuel are considered. The statistical analysis of the areas and number of fires typical of each vegetation class is made with the use of the GLC2000 vegetation map. A positive correlation (similar to 0.45, p

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Издание

Журнал: IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS

Выпуск журнала: Vol. 47, Is. 9

Номера страниц: 1049-1056

ISSN журнала: 00014338

Место издания: NEW YORK

Издатель: MAIK NAUKA/INTERPERIODICA/SPRINGER

Авторы

  • Rubtsov A.V. (Siberian Fed Univ, Inst Space & Informat Technol, Krasnoyarsk, Russia; Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk, Russia)
  • Sukhinin A.I. (Siberian Fed Univ, Inst Space & Informat Technol, Krasnoyarsk, Russia; Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk, Russia)
  • Vaganov E.A. (Siberian Fed Univ, Inst Space & Informat Technol, Krasnoyarsk, Russia)

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