The integration of remote sensing data within hydrological models provides a powerful tool for understanding and predicting water cycles. Remotely sensed variables such as wetness and land surface features can be https://joansdkm530095.mpeblog.com/68890087/hydrological-modeling-driven-by-spatial-remote-sensing