Spatiotemporal CNN-Transformer Networks for Reconstructing Historical Landsat Time Series
Reconstructing dense and temporally continuous Landsat time series remains challenging because clear-sky observations are often sparse and irregular due to cloud and shadow contamination, limited revisit frequency, and sensor-specific data gaps such as the Landsat 7 Scan Line Corrector (SLC) failure. Although recent de...