Remote sensing-AI based prediction of subsidence in Ararat Valley, Armenia Modeling Ground Subsidence Using InSAR, LSTM Networks, and Remote Sensing Data
The Ararat Valley, being the cereal basket of Armenia and Turkey, is in danger with over-abstracted groundwater, which already induces colossal water loss and land subsidence. In the current work, advanced remote sensing techniques and machine learning models are applied to predict subsidence and give datadriven recommendations to effect sustainable water management. The tracking of terrain change
