Blending Satellite Observed, Model Simulated, and in-situ Measured Soil Moisture Using Triple Collocation

Authors: Ning Zhang*, The Ohio State University, Steven Quiring, The Ohio State University
Topics: Climatology and Meteorology, Environmental Science
Keywords: soil moisture, SMAP, SMOS, remote sensing, triple collocation
Session Type: Poster
Day: 4/4/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded


This paper will propose an operational and robust approach for mapping surface soil moisture anomalies based on satellite observed, model simulated, and in-situ measured soil moisture and climate data. In-situ soil moisture are obtained from North American Soil Moisture Database (NASMD), the SMAP L4 surface soil moisture product and soil moisture simulation from NLDAS Noah model are used. Regression Kriging with PRISM precipitation is adopted to interpolate the in-situ measurements into 4-km grids. Finally, triple collocation is adopted to objectively blend the kriged soil moisture, SMAP soil moisture and modeled soil moisture into a hybrid soil moisture product.

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