Web-GIS platform for forest fire danger prediction in Ukraine: prospects of RS technologies; Proceedings of SPIE; Vol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI

Web-GIS platform for forest fire danger prediction in Ukraine: prospects of RS technologies; Proceedings of SPIE; Vol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI

Bibliographic Details
Parent link:Proceedings of SPIE
Vol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI.— 2016.— [100010Y, 6 p.]
Main Author: Baranovskiy N. V. Nikolay Viktorovich
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ)
Other Authors: Zharikova M. V. Marina Vitaljevna
Summary:Title screen
There are many different statistical and empirical methods of forest fire danger use at present time. All systems have not physical basis. Last decade deterministic-probabilistic method is rapidly developed in Tomsk Polytechnic University. Forest sites classification is one way to estimate forest fire danger. We used this method in present work. Forest fire danger estimation depends on forest vegetation condition, forest fire retrospective, precipitation and air temperature. In fact, we use modified Nesterov Criterion. Lightning activity is under consideration as a high temperature source in present work. We use Web-GIS platform for program realization of this method. The program realization of the fire danger assessment system is the Web-oriented geoinformation system developed by the Django platform in the programming language Python. The GeoDjango framework was used for realization of cartographic functions. We suggest using of Terra/Aqua MODIS products for hot spot monitoring. Typical territory for forest fire danger estimation is Proletarskoe forestry of Kherson region (Ukraine).
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2016
Series:Poster Session
Subjects:
электронный ресурс
труды учёных ТПУ
assessment
remote sensing
Web - ГИС
лесные пожары
опасность
оценка
дистанционное зондирование
Интернет
Online Access:http://dx.doi.org/10.1117/12.2241670
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654196

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