While course resolution derived SM products like SMOS and SMAP can well describe temporal soil moisture dynamics, they lack spatial detail and we can’t use them in analysis of local hydrological patterns. Contrary, SM product from sentinel-1 (A/B) sensor can resolve dynamics at this spatial level. However, its temporal resolution is less frequent and thus not suitable for acquisition of short-term variations. To overcome these spatial and temporal scale gaps, we can use data fusion approach that fuses multi sensors data. Is there any method which could help me do this?

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