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

Bibliografiske detaljer
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)
Andre forfattere: 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.
Sprog:engelsk
Udgivet: 2016
Serier:Optical Investigation of Atmosphere and Ocean
Fag:
Online adgang:http://earchive.tpu.ru/handle/11683/37416
http://dx.doi.org/10.1117/12.2249125
Format: Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653163

MARC

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200 1 |a Information-algorithmic basis of a program complex for forest fire danger estimation  |f M. V. Engel [et al.] 
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330 |a 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. 
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463 1 |t Vol. 10035 : Atmospheric and Ocean Optics: Atmospheric Physics  |o 22nd International Symposium, 30 June-3 Jule 2016, Tomsk, Russian Federation  |o [proceedings]  |f Institute of Atmospheric Optics SB RAS ; eds. G. G. Matvienko, O. A. Romanovskii  |v [100353Z, 6 p.]  |d 2016 
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701 1 |a Engel  |b M. V.  |g Marina Vladimirovna 
701 1 |a Belov  |b V. V. 
701 1 |a Baranovskiy  |b N. V.  |c specialist in electrical engineering  |c Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences  |f 1978-  |g Nikolay Viktorovich  |3 (RuTPU)RU\TPU\pers\34172  |9 17706 
701 1 |a Yankovich  |b E. P.  |c Geologist  |c Senior Lecturer of Tomsk Polytechnic University  |f 1967-  |g Elena Petrovna  |3 (RuTPU)RU\TPU\pers\32215  |9 16215 
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