Panayan Abhilash and Mamta Rana

The intricate relationship between soil moisture and rainfall plays an important part in surface hydrology. Conventionally, the analysis of this complex relationship is established by the data of soil moisture and rainfall that are collected through in-situ observations at limited locations. In the present study, available remote sensing product of soil moisture with the organization and Climate Hazard Group InfraRed Precipitation with Station data (CHIRPS) that provide global coverage rainfall data at 5Km resolution has been utilized to analyse the co-relation of rainfall and soil moisture at regional level. The statistical inference of the derived results indicates that there is moderate to limited correlation coefficient between soil moisture and rainfall in the selected study regions during the observation period. Also, remotely sensed soil moisture data has less significance in dense vegetation and areas having good source of existing surface & subsurface water sources with water harvesting structures.

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