Novel Detection of Forest Fire Using Satellite Observation with Improved Accuracy in Comparison with Human Observation

Abstract

The objective of the study is to detect the forest fire by monitoring forest area through satellites by comparing human observation and satellite observation and to prevent the forest fire and to state which one is best for forest fire detection. Materials and Methods: A total of 28 samples are taken randomly from Google. These are my own datasets. These samples are divided into group 1 (n = 14) and group 2 (n = 14). This required samples for this analysis is given using G power calculation. Minimum power of the analysis is fixed as 0.8 and maximum accepted error is fixed as 0.5. Result: Through the forest fire monitoring system, the detection of forest fire using the images taken from satellite even from the low resolution images appeared to have an improved performance of the system. The system appears to have an accuracy of 78%. The sigma value is 0.315. Conclusion: This innovative approach appears to be better accuracy in detecting the occurrence of forest fire.