Modeling in water resources using Gravity Recovery and Climate Experiment (GRACE) is based on a decade-long data for scientific analysis. The analysis of the groundwater change detection using remote sensing data is helpful in overcoming the data limitations on a regional scale. The present study is a modeling approach using GRACE data for the estimation of the variations in the groundwater for the state of Punjab. The GRACE data is applied first for the analysis of the groundwater change detection in the study area and validated with the ground truth data provided by the CGWB. The parameters that influence the model accuracy are rainfall, snow water equivalent, soil moisture, surface runoff, total canopy, aquifer matter and groundwater fluctuations in the wells being monitored. The effect of soil moisture model and the underlying aquifer of the monitored well were determined by the most successful GRACE modeling approach. There is a strong correlation that verifies a significant match between GRACE-based and ground-truth time series analysis. The successful approach is validated for the various regions in Punjab for the detection of groundwater changes. In the GRACE modeling, the effect of soil moisture and groundwater level fluctuations in individual wells studied.
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2022: 6.012
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