Focused sunlight factor of forest fire danger assessment using Web-GIS and RS technologies; Proceedings of SPIE; Vol. 9688 : Remote Sensing and Geoinformation of the Environment

Focused sunlight factor of forest fire danger assessment using Web-GIS and RS technologies; Proceedings of SPIE; Vol. 9688 : Remote Sensing and Geoinformation of the Environment

Bibliographic Details
Parent link:Proceedings of SPIE
Vol. 9688 : Remote Sensing and Geoinformation of the Environment.— 2016.— 968823, 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: Baranovskiy N. V. Nikolay Viktorovich, Sherstnev V. S. Vladislav Stanislavovich, Yankovich E. P. Elena Petrovna, Engel M. V. Marina Vladimirovna, Belov V. V.
Summary:Title screen
Timiryazevskiy forestry of Tomsk region (Siberia, Russia) is a study area elaborated in current research. Forest fire danger assessment is based on unique technology using probabilistic criterion, statistical data on forest fires, meteorological conditions, forest sites classification and remote sensing data. MODIS products are used for estimating some meteorological conditions and current forest fire situation. Geonformation technologies are used for geospatial analysis of forest fire danger situation on controlled forested territories. GIS-engine provides opportunities to construct electronic maps with different levels of forest fire probability and support raster layer for satellite remote sensing data on current forest fires. Web-interface is used for data loading on specific web-site and for forest fire danger data representation via World Wide Web. Special web-forms provide interface for choosing of relevant input data in order to process the forest fire danger data and assess the forest fire probability
Текстовый файл
AM_Agreement
Language:English
Published: 2016
Series:Poster Session
Subjects:
электронный ресурс
труды учёных ТПУ
солнечный свет
пожарная опасность
Online Access:http://earchive.tpu.ru/handle/11683/37415
http://dx.doi.org/10.1117/12.2240378
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653162

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