Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/37416
Title: Information-algorithmic basis of a program complex for forest fire danger estimation
Authors: Engel, Marina Vladimirovna
Belov, V. V.
Baranovskiy, Nikolay Viktorovich
Yankovich, Elena Petrovna
Keywords: солнечный свет; лесные пожары; опасность; оценка; дистанционное зондирование
Issue Date: 2016
Publisher: Томский политехнический университет
Citation: Information-algorithmic basis of a program complex for forest fire danger estimation / M. V. Engel [et al.] // Proceedings of SPIE. — 2016. — Vol. 10035 : Atmospheric and Ocean Optics: Atmospheric Physics. — [100353Z, 6 p.].
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. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
URI: http://earchive.tpu.ru/handle/11683/37416
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