Firewatch

Project information

Index: 1000C3
Acronym:EFFMIS
Priority:2: Environment and risk prevention
Sub Theme:Natural and technological risks (including climate change)
Location LITHUANIA LIETUVA Kaunas Lietuva Start/End date of the practice
Start: 2011

Topic of the practice

Real-time automated visual monitoring, fire detection and alarm indication

Good Practice Information

Automatic early warning system for forest fires “FireWatch” is terrestrial digital, remote surveillance system which is capable of observing larger wooded regions and to analyse, evaluate, link and store the collective data. Detection by smoke ( image) - fire alarm indication. Cameras observe 0- 40 km range according to weather conditions, the clouds of smoke 10*10m should be detected in any weather conditions; sound signal (day/night). Cost is approx. 350 thousand EUR per 48 thousand ha .Guarantee of 3 years is given by the manufacturer. During this time maintanance costs are included into the price of the system. What will be costs after 3 years it is not known as the system has been operating for 1 year only.

Evidence of success

In 2010 - 2011 there were 58 Firewatch cameras installed in 16 state forest enterprises in Lithuania. The systems were piloted in each forest enterprise and proved to operate successfully. GP and efficiency of Firewatch system can be based on Druskininkai experience where the cameras were installed earliest in 2010. During 2011 Firewatch identified 11 fires and the total burned area was only 0.64 ha with 0.06 ha as the average burned area per fire. Before Firewatch the average burned area per fire in this state forest enterprise was 0.1 – 0.4 ha (1.5 - 6 times larger).The use of Firewatch also improved working conditions. 2 people per shift were on duty in high towers with tossing environment, monotonous work, and unfavourable climate conditions. Now part of employees work in control centres where working conditions are much better. The single automated system Firewatch is operating autonomously 24/7, eliminating the human factors like tiredness and exhausting working environment

Contact details to obtain further information on the practice

Dr. Liana Sadauskiene

Institute of Forestry, Lithuanian Research Center for Agriculture and Forestry

lsadauskiene@gmail.com

www.mi.lt

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