Landslides cause a severe damage to life and property, especially in hilly regions where the probability of occurrence of landslide is too high. With the use of advanced technologies such as InSAR provides us with promising solution for detection of landslides. The model which was developed by combining the InSAR data with the deep learning algorithms aims to enhance the accuracy and efficiency in landslide detection. The deep learning algorithms, those are trained on the historical InSAR data and geotechnical parameters enables us for the identification of landslides. This methodology not only detects the landslides but also enables the officials for effective risk management. The proposed research work will become a proof that reflects the power of InSAR data when used with deep learning in providing a robust and reliable solution for landslide detection. It contributes in better disaster preparedness.