A new algorithm for forest fire detection method with statistical analysis using NOAA AVHRR images

Various researchers have carried out forest fire analysis using NOAA satellite images. There are several methods of doing this, and most can detect a fire. However, many false fires were also detected, and, in some cases, actual fires were missed. We analysed four satellite-based fire detection meth...

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Bibliographic Details
Published in:International journal of remote sensing 2006-09, Vol.27 (18), p.3867-3880
Main Authors: Kalpoma, Kazi A., Kudoh, Jun-Ichi
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Applied geophysics
Biological and medical sciences
Earth sciences
Earth, ocean, space
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Internal geophysics
Teledetection and vegetation maps
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Summary:Various researchers have carried out forest fire analysis using NOAA satellite images. There are several methods of doing this, and most can detect a fire. However, many false fires were also detected, and, in some cases, actual fires were missed. We analysed four satellite-based fire detection methods using data from AVHRR of NOAA-16 over a period of three to six months for the Sakhalin region and the Japan region. Considering the fundamental differences, problems, and effectiveness of these methods, we have constructed an improved fire detection method with statistical analysis. Our method has reduced false fire detection significantly, as well as detected actual fire with accuracy.
ISSN:0143-1161
1366-5901
DOI:10.1080/01431160600784226