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

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

Bibliographic Details
Parent link:Proceedings of SPIE
Vol. 10035 : Atmospheric and Ocean Optics: Atmospheric Physics.— 2016.— [100353Z, 6 p.]
Corporate Authors: Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ), Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра геологии и разведки полезных ископаемых (ГРПИ)
Other Authors: Engel M. V. Marina Vladimirovna, Belov V. V., Baranovskiy N. V. Nikolay Viktorovich, Yankovich E. P. Elena Petrovna
Summary:Title screen
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.
Language:English
Published: 2016
Series:Optical Investigation of Atmosphere and Ocean
Subjects:
электронный ресурс
труды учёных ТПУ
солнечный свет
лесные пожары
опасность
оценка
дистанционное зондирование
Online Access:http://earchive.tpu.ru/handle/11683/37416
http://dx.doi.org/10.1117/12.2249125
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653163

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