A Deep Learning-Based Spatio-Temporal Fusion Model Accounting for Strong Phenological Changes (opens in new tab)

Spatio-temporal fusion enables the generation of time-series data with both fine spatial and temporal resolutions, which are essential for timely, precise monitoring of land surface processes. However, existing spatio-temporal fusion methods face significant challenges in handling large phenological changes, especially when there is a large spatial resolution difference between fine and coarse spatial resolution images, leading to noticeable spectral distortion and spatial blurring during the...