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Acid rain is a major regional scale environmental problem around the globe. To control acid rain pollution and to protect the ecological environment, it is a major need to identify the occurrence of acid rains. This paper presents a methodology for identifying the occurrence of acid rain using pH values calculated from normality by applying k-means clustering and haar wavelet transform on the satellite imagery of water vapor, SO 2 and NO 2 . If the computed pH value lies in the range of 1 pH 5, it is identified as acid rain. The resulted outcome indicates that the amount of rainfall with the concentration of SO 2 and NO 2 have a strong influence on the occurrence of acid rains.

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