This study proposes the correlation coefficient between Soil Moisture, weather parameters such as air temperature, precipitation, rainfall and surface temperature. The model was applied to the mid Asia region. The results showed that soil moisture and surface temperature had a strong negative correlation, soil moisture and air temperature also had a consequent negative correlation, the relation between Soil moisture and collectively rainfall and precipitation have a strong positive correlation, the soil moisture derived from NASA’s LPRM_AMSR2 data was observed a correlation coefficient of 0.45 with gridded rainfall, and -0.59 with air temperature and ground temperature, thus concluding a strong correlation between soil moisture and weather parameters. The derived weather parameters considered were from Aphrodite’s Water Resource which was used to conduct this study. A prediction was made to determine soil moisture by applying different weather parameters as the correlating input to determine the exact accuracy using an LSTM model.