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Ji-Sung Chang

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Open access Aug 2026

Enhancing the Spatial Applicability of SMAP Soil Moisture Using Multi-Stage Machine Learning Downscaling

Results indicate that multi-stage machine learning downscaling can enhance spatial interpretability and strengthen the applicability of SMAP SM for agricultural monitoring, while preserving broad consistency with the original passive microwave retrieval and providing a practical baseline for regional refinement.

Jeonghwang Park, Ji-Sung Chang · 0 citations

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