The hydrologic and riverine systems of the Earth's surface, subject to ever increasing instability, requires forecasting techniques now more than ever. The study aims to demonstrate that remote sensing and unsupervised machine learning techniques coupled with appropriate validation metric can be employed to quickly forecast regions that are subject to future river sediment deposition.