Identification and Classification of Cloud–dense areas in Infrared Weather Imagery using Intensity Contours

Abstract––An alternative method to detect cloud density on geographic locations of the satellite infrared images for the prediction and nowcasting of weather and precipitation has been derived and tested. INSAT and METEOSAT satellite captured two different images were used for the analysis. Those images were covered different range and period of time; it shows the geographical areas of India and its nearest subcontinents. The techniques applied for cloud studyare density slicing and image contouring, the core idea behind the technique thatthe various intensity levels of gray in the monochromic images. Three basic steps involved in this task, Grayscale conversion, plot contour lines, provide labels.There are two contouring techniques appliedto carryout tests. After experiments the cloud dense areas are identified and classified into five categories. Those categories indicated by five colors, a circle like white region covered by red color spectacles that a cyclonic circulation formed on that location, same time a white region bounded by blue curves indicates no cloud on that particular surfac