A new downscaling method has been developed to generate high-resolution surface soil moisture (SSM) data for mountainous regions. By integrating land surface temperature (LST) and vegetation index (VI) data, this innovative technique enhances the spatial resolution of coarse satellite-based SSM products, correcting for topographic effects and providing accurate, seamless SSM maps. This advancement is poised to revolutionize hydrological studies, drought monitoring, and climate change research.