Hydrology with AI and
Remote Sensing
We investigate the impact of climate changes on regional to the global scale water cycle with remote sensing, land surface models, and AI/machine learning technics.
Our goal is to understand how water movement across the land surface relates to broader-scale behavior, and to improve the accuracy of natural disaster and water resource predictions by applying remote sensing and machine learning techniques in the context of the climate crisis.