Detection of rainmass from RADAR images using wavelets

Water is a very important part of human life. Economic scenario of a country highly depends on rainfall. Rainfall estimation has become necessary due to day by day increasing global heat level. An enormous amount of rainfall is a serious threat to both life and property. Therefore, it is important to find where rainfall occurred, amount of rainfall and to forecast future rainfall. Basically, there are three estimation techniques namely: rain gauge, weather radar and numerical weather prediction model. Among all the three, weather radar provides more accurate information about the rainfall and therefore is widely used in rainfall prediction models. Weather radar measures reflectivity. The reflectivity of weather radar is directly related to rainfall rate. Moreover, weather radar performs short term rainfall prediction, based on the current weather condition. In this paper, a new algorithm has been designed for the identification and prediction of next movement of rainmass from radar images. The next movement of rainmass is predicted based on the physical and morphological features like distance and velocity of rainmasses. The probability of detection of rainmass from radar images in the proposed approach is 91%.