Detection of Lightening Storms in Satellite Imagery Using Adaptive Fuzzy Clustering

Abstract

Natural hazards are the environmental managers that balance nature and environment. The earth’s environmental system has become a cardinal area of research and development. As such, the meticulous and methodical studies of natural disasters are gaining its prominence in all environmental science institutions and industries. Despite the small size, most of the thunderstorms are usually dangerous. This makes the automated detection of lightning storms in satellite imagery not only important but also indispensable. Many different techniques have been proposed and evaluated to detect lightning storms in satellite imagery. Nevertheless, the accuracy of detection is still a challenging concern. Here, a method has been proposed for efficient detection of the lightning storms in order to colossally improve the accuracy of the automated lightning storm detection rate, thus supporting the study, observation and characterization of the lightning storms in the satellite imagery.