Войти на сайт
МЕЖДУНАРОДНЫЕ ЕЖЕГОДНЫЕ КОНФЕРЕНЦИИ
"СОВРЕМЕННЫЕ ПРОБЛЕМЫ ДИСТАНЦИОННОГО
ЗОНДИРОВАНИЯ ЗЕМЛИ ИЗ КОСМОСА"
(Физические основы, методы и технологии мониторинга окружающей среды, природных и антропогенных объектов)

Десятая всероссийская открытая ежегодная конференция
«Современные проблемы дистанционного зондирования Земли из космоса»
(Физические основы, методы и технологии мониторинга окружающей среды, природных и антропогенных объектов)
Москва, ИКИ РАН, 12-16 ноября 2012 г.

X.F.459

UV-C radiation sensors and application for forest fire detection

Georgiev G., Kancheva R.
Institute for Space Research and Technologies
Wildfires can cause extensive damage, both to property and human life, and may also have negative ecological effects. Early wildfire detection is very important because of its potential to change direction unexpectedly, the ability to jump gaps such as roads, rivers and fire breaksq and because of the fact that it doubles its area every few minutes. In this context, the main idea of the paper is to present the development of fire warning network which will cover a large area. Each node of the network will work over one square kilometer and will detect fires by an optical method just when the fire flames. The spectral (wavelength selective) atmospheric attenuation of the incident solar and the coming from the fire UV-C radiation is also discussed in terms of maximum area to be covered by one node of the fire warning network.Recently the UV-C spectral band begins to find wide application in various scientific and technology fields. This interest is justified by the relatively low level of background noise in this spectral band and the new possibilities that it provides. In this paper, the characteristics of different types of sensors working in the ultraviolet C spectral range are discussed as well as their application capability for wildfire detection. Strategies of wildfire prevention, detection, and suppression have varied over the years, and further development of technology and research continues.

Дистанционное зондирование растительных и почвенных покровов

367