Validating SMAP soil moisture data by spatio-temporal interpolation of the Mesonet observations

Authors: Le Tu*, LSU
Topics: Soils
Keywords: soil moisture, SMAP
Session Type: Paper
Day: 4/11/2018
Start / End Time: 3:20 PM / 5:00 PM
Room: Muses, Sheraton, 8th Floor
Presentation File: No File Uploaded

Soil Moisture Active Passive satellite provides daily soil moisture maps at continental scales. Due to the large IFOV, direct validation from soil moisture readings measured at the ground stations was not appropriate. We propose to use the space-time kriging method to obtain the soil moisture variation that matches the scale of SMAP data in both space and time. The Oklahoma Mesonet consists of 121 automated stations to provide state-wide soil moisture measurement at different depths. The Mesonet surface moisture data were interpolated with the space-time kriging technique in a GIS to the 9-km grid that matches the locations of SMAP pixels. The correlation between the interpolated grid data and the SMAP soil moisture data is much higher than the data without the interpolation. This research sets a new foundation for space-time downscaling of satellite image data to local soil moisture observations.

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