Detection of Cumulonimbus Clouds Using Frequency and Spatial Methods on NOAA Data

B. Ravi Kumar and B. Anuradha

Tremendous changes for the field of remote sensing in the last decades with advancement of sensors and increase in spectral resolution. To detect rain baring cumulonimbus clouds NOAA AVHRR Satellite data is very useful during daytime as well as night time due to its spectral resolution. The spatial and frequency domain methods were considered in this paper. The spatial domain method based on mean of mean and frequency domain methods based on 2-Dimensional Discrete Cosine Transform (DCT) were used to detect the thunderstorm cumulonimbus clouds. These two methods gives almost same results of cloud coverage but 2D-DCT method deemphasise of thick cirrus clouds over cumulonimbus clouds and accuracy of these results is reasonably good compared with ERDAS image which is the ground data image.

Volume 11 | 04-Special Issue

Pages: 1906-1911