Monitoring and Extracting Abnormalities in Land Surface Temperature Images for Automatic Identification of Forest Fires

Abstract

Forest fires have a detrimental impact on economy and environment. The rapid distribution of the fire could cause many causalities and a lot of effort is required to control. To overcome this problem it is highly important to detect forest fire before it spread its wing on the surroundings. A number of popular techniques like smoke velocity distribution… (More)
DOI: 10.1109/EMS.2013.37

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Cite this paper

@article{Prasad2013MonitoringAE, title={Monitoring and Extracting Abnormalities in Land Surface Temperature Images for Automatic Identification of Forest Fires}, author={Narasimha Prasad and Rajkumar Gatadi Bandi and Buddi Padmaja}, journal={2013 European Modelling Symposium}, year={2013}, pages={215-219} }