Seasonal Analysis of Ground Water recharge using GIS and Remote sensing techniques

The mapping of groundwater resources is highly significant in view of agriculture as well as potable water for human survival. Recently it has gained more concerns in the wake of global climatic change. The geographical variability of hydrological parameters such as precipitation, surface runoff, evaporation, and transpiration affect the recharging of the groundwater supply, and different indirect effects brought on by the inputs of change in the land-use patterns also contribute to the same. Better understanding about the pattern of the spatial distribution of groundwater resource of a region not only helps in the effective planning and sustainable development of a region but also it contributes to the improved food security, agricultural as well as industrial productivity, economic development, social and cultural wellbeing. The current study employs the WetSpass model to map the geographical distribution of groundwater in Kerala, India, using the seasonal data of precipitation, evapotranspiration, surface runoff from Copernicus climate data repository and leverages geospatial technologies to analyze the data and present the findings, which is the distribution is uneven with maximum during the month of July and minimum during February, March and December.