Spatial–temporal fusion (STF) technology has emerged as a cost-effective and convenient solution for obtaining dense time-series high-resolution satellite images. Large-scale applications require a practical STF method that is fast and robust to be used in various climate zones and with various input data qualities. Current spatio-temporal fusion methods require manual selection of cloud-free input images and exhibit inefficiencies in data production, rendering them unsuitable for large-scale applications. …