研究目的
To develop and assess a high-resolution (3km) soil moisture product by combining SMAP radiometer data with Sentinel-1A and -1B SAR data, modifying the SMAP active-passive algorithm to accommodate Sentinel's multi-angular C-band SAR data.
研究成果
The beta version of the L2SMSP product shows promise, with high-resolution soil moisture data capable of improving geophysical applications like agriculture and flooding. Future improvements include updated ancillary information and tau-omega parameters, rigorous analysis of algorithm parameters, and enhanced global coverage with improved Sentinel 1A and 1B acquisition strategies.
研究不足
The SMAP-Sentinel combined product cannot match the spatial coverage and revisit interval of the SMAP-only combined product. The higher sensitivity of microwave C-band for vegetation and roughness compared to L-band SAR observations results in less variability in the L2SMSP product.
1：Experimental Design and Method Selection:
The study modifies the heritage SMAP active-passive algorithm to work with Sentinel-1A and -1B SAR data, employing a snapshot approach for parameter computation without needing a time series.
2：Sample Selection and Data Sources:
Utilizes SMAP L-band radiometer data and Sentinel-1A/1B C-band SAR data from April 2015 to December
3：List of Experimental Equipment and Materials:
20 SMAP radiometer, Sentinel-1A and -1B SAR.
4：Experimental Procedures and Operational Workflow:
Combines SMAP radiometer data with Sentinel SAR data, processes Sentinel SAR observations to 1 km resolution to reduce speckle, and plans to provide the product at 3 km and 1 km resolutions.
5：Data Analysis Methods:
Compares disaggregated brightness temperature against airborne experiment data and L2SMSP retrieved soil moisture against in situ observations from core cal/val sites.
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