Basin-scale river channel movement shapes water distribution and ecosystems. Accurately measuring this process is vital for basin management and climate change adaptation. This study introduces a fully coupled landscape evolution model with channel extraction to simulate such large-scale channel migration. Additionally, a modified Bayesian uncertainty, combined with a surrogate model, is used for parameter calibration. This approach helps reconstruct and predict river channel migration patterns.