A Spatiotemporal Deep Learning Approach for Daily Prediction of Ground–Surface Water Connectivity Signal and Key Spatiotemporal Feature Attribution

Mazarei Behbahani, Mohammad Reza

A Spatiotemporal Deep Learning Approach for Daily Prediction of Ground–Surface Water Connectivity Signal and Key Spatiotemporal Feature Attribution

Mohammad Reza Mazarei Behbahani, University of Connecticut, Civil and Environmental Engineering, Storrs, United States, David Rey, USGS Observing Systems Division, Hydrologic Remote Sensing Branch, Golden, United States, Martin A Briggs, USGS Water Mission Area, Hydrologic Remote Sensing Branch, Storrs, United States and Amvrossios C Bagtzoglou, University of Connecticut, Civil and Environmental Engineering, Storrs, CT, United States