Wildfire Surveillance and Monitoring |
Written by Darko Stipanicev | |||
Saturday, 06 November 2010 08:29 | |||
Four types of wildfire surveillance and monitoring could be distinguished:
Traditional human wildfire surveillance is based on trained human observers located on selected monitoring locations, usually hills or watching towers. Human observers are in most cases equipped only with standard binoculars and communication equipment. Although technologically simple to implement, significant human resources are required, which makes it difficult to be put into practice. Technically more advanced approach to human wildfire surveillance is video cameras based human wildfire surveillance. Now remotely controlled video cameras are installed on monitoring locations and the human observer is located in monitoring centre equipped with adequate video presentation and video storing devices. Monitoring center is connected wirelessly or by wires with distant video cameras located on monitoring spots. This kind of wildfire surveillance has many advantages in comparison to direct human observation from monitoring spots. The most important of them are:
The next technical improvement is automatic wildfire detection. The research and system development in the area of automatic wildfire detection was extended in the last couple of years. Automatic wildfire detection could be realized by: In terrestrial systems different kinds of fire detection sensors could be used:
By integrating automatic wildfire surveillance and monitoring system with real time meteorological data, geographic information system (GIS) data, meteorological simulations, fire risk index calculation and fire spread simulation, a lot of new features could be added. The result of such integration is the advanced automatic wildfire surveillance and monitoring system. These systems could be used not only for early fire detection and distant video presence at fire location, but also for various activities connected with pre fire, fire and post fire stages. >> Caballero, D., Viegas, D.X., Xanthopoulos, G., 2001. E-FIS: an electronic on-line decision support system for forest fires, Int. Workshop on Improving dispatching for forest fire control. Med. Agronomic Institute of Chania, Crete, Greece. December 6-8, 2001 >>> http://www.maich.gr/fire_workshop/proceedings
>> B. Hrastnik, Branimir; D. Stipaničev, R. Vujčić, Forest Fire Protection by 24h Monitoring, Wood Collection Intended for District Heating Plants and Easy Access Routes Assigned to Firemen and Tourism, 2nd World Conference on Biomass for Energy, Industry and Climate Protection ETA-Florence, Italy and WIP-Munich, Germany , 2004.. V3.36. >>> http://laris.fesb.hr/PDF/v3-36-hrastnik-stipanicev-vujcic.pdf >> Trevis, L., El-Sheimy, N., The developement of a real-time forest fire monitoring and management system, XX ISPRS Congress, Istanbul, 12-23 July 2004. >>> http://www.isprs.org/proceedings/XXXV/congress/yf/papers/932.pdf
>> D.Stipaničev,T.Vuko,D.Krstinić,M.Štula,Lj.Bodrožić, Forest Fire Protection by Advanced Video Detection System - Croatian Experiences , Third TIEMS Workshop – Improvement of Disaster Management System, Trogir, Sept. 26 – 27, 2006 >>> http://laris.fesb.hr/PDF/TIEMS%20-%20Stipanicev_i_ostali.pdf
>> Martinez-de Dioa, J.R., Arrue, B.C., Ollero, A., Merino, L., Gomaz-Rodrigez, F. Computer vision techniqes for forest fire perception, Image and Vision Computing 26 (2008) 550-562 >>> http://grvc.us.es/aware/papers/aware_paper_9.pdf
>> Stipaničev, D. Intelligent Forest Fire Monitoring System – from idea to realization, Annual of the Croatian Academy of Engineering. 2010/2011 (2012) ; 58-73 >>> http://wildfire.fesb.hr/images/stories/HATZ_Annual_2010_2011_Stipanicev.pdf
Covering the whole region with several inter-connected automatic wildfire monitoring units the wildfire monitoring network could be formed. The network architecture has a lot of advantages emphasized in DICES project, PRODALIS project in Landes region, France or Istra iForestFire Net, Croatia. >> DICES project >>> Martinez-de Dioa, J.R., Arrue, B.C., Ollero, A., Distributed intelligent automatic forest-fire detection system, INNOCAP’99 - Sensor Networks and Communications, Grenoble, April 28-29 >>> http://grvc.us.es/publica/congresosint/documentos/CI-055.99Distributed intelligent automatic.pdf
>> PRODALIS project >>> PRODALIS, un programme pilote en France, http://www.alpi40.fr/article/articleview/3657/1/587
>> Istra iForestFire Net >>> D.Stipaničev, M.Štula, D.Krstinić, Lj.Šerić, T.jakovčević, M.Bugarić, Advanced automatic wildfire surveillance and monitoring network, VI International Conference on Forest Fire Research, Coimbra, Porugal, Nov. 15 – 18, 2010. >>> http://www.adai.pt/icffr/2010/index.php?target=presentations now integrated in >>> OiV Fire Detect AI >>> Intelligent Solution for wildfire detection covering all Croatian Adriatic coast - https://oiv.hr/en/services-and-platforms/oiv-fire-detect-ai/
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Last Updated on Friday, 01 December 2023 18:03 |