An Approach For Identifying The Forest Fire Using Land Surface Imagery By Locating The Abnormal Temperature Distribution
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 14, Issue 3
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. Till to date, many of the approaches like smoke velocity distribution, usage of sensors, sounding systems and usage of thermal images have been applied in forest surveillance and found to be ineffective. In this paper, we present an improved system for identification of forest fire by using land surface temperature satellite imagery. From these images an analysis is carried out to identify the mean wavelengths of abnormal temperature distribution when compared to the surroundings on a small region and the mean wavelength for forest fires exceeds 10.14 from the experimentation. If the mean wavelength is beyond 10.14, it is treated as no forest fire. This approach uses kmean clustering and haar wavelet, resulting an average accuracy rate of 89.5 %
Authors and Affiliations
S Anitha
Keywords
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- EP ID EP157143
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