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, atmospheric moisture, correlation, forest fire, NOAA satellite, prediction, risk assessment, snow cover, vegetation type
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. ParametersПоказать полностьюof 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
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