Forest fire analysis for several years in Russia by using NOAA satellite
[ABSTRACT] The main purpose of this work was to construct an efficient algorithm for forest fire detection method using NOAA satellite images. The forest fire analysis using this NOAA satellite has been done by various researchers. However, most of the method can detect the fire but a lot of false f...
| Main Authors: | , |
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| Format: | Conference Object |
| Language: | English |
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Chiba University. Center for Environmental Remote Sensing
2005
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| Subjects: | |
| Online Access: | https://opac.ll.chiba-u.jp/da/curator/104209/ https://opac.ll.chiba-u.jp/da/curator/104209/BB02587207-11-P043.pdf |
| Summary: | [ABSTRACT] The main purpose of this work was to construct an efficient algorithm for forest fire detection method using NOAA satellite images. The forest fire analysis using this NOAA satellite has been done by various researchers. However, most of the method can detect the fire but a lot of false fire also appeared in the results and missing of actual fire also happened in some cases. Here we analyzed four satellite based fire detection methods to compare the fundamental differences, problems and effectiveness. To do so we used the data from AVHRR of NOAA-16 of a period of three to six months for Sakhalin and Japan region. Considering their problems and drawbacks an improved fire detection method with statistical analysis has been constructed here. Our method has reduced the false fire detection very significantly as well as detected the actual fire with high accuracy. This method can be applied to a real time forest fire monitoring system for Russia and Southeast Asian region, which is very important for early warning and early detection of fire for reducing the damages of forest fire. And also this study applied Siberian forest fire analysis for several years. |
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