Application of technology for mitigating suffering due to natural disasters has always been fore front of researchers. Use of soft computing techniques in disaster prediction and management has interested measures at different levels. Soft computing techniques have given the humans the power and capability to identify events preluded the occurrence of major disasters. Even though it's quit impossible to forecast all natural calamities, it is imperative to identify methods that can fore warn the possible occurrence of an event.Soft computing techniques have extensively used by researchers to provide these fore warning capabilities.Multi spectral satellite data have been employed for image processing and analysis. Suitable modification and improvements has been suggested for existing techniques like KNN, SVM, ANN to increase the prediction performance and accuracy. As a part of this an ANFIS based system classifier has also been developed and tested for its performance.
