An Approach to Constructing a Homogeneous Time Series of Soil Moisture Using SMOS

Delphine J. Leroux, Yann H. Kerr, Eric F. Wood, Alok K. Sahoo, Rajat Bindlish, Thomas J. Jackson
2014 IEEE Transactions on Geoscience and Remote Sensing  
Overlapping soil moisture time series derived 5 from two satellite microwave radiometers (the Soil Moisture 6 and Ocean Salinity and the Advanced Microwave Scanning 7 Radiometer-Earth Observing System) are used to generate a soil 8 moisture time series from 2003 to 2010. Two statistical methodolo-Q1 9 gies for generating long homogeneous time series of soil moisture 10 are considered. Generated soil moisture time series using only 11 morning satellite overpasses are compared to ground
more » ... ments from four watersheds in the U.S.A. with different clima-13 tologies. The two methods, cumulative density function (CDF) 14 matching and copulas, are based on the same statistical theory, but 15 the first makes the assumption that the two data sets are ordered 16 the same way, which is not needed by the second. Both methods 17 are calibrated in 2010, and the calibrated parameters are applied 18 to the soil moisture data from 2003 to 2009. Results from these 19 two methods compare well with ground measurements. However, 20 CDF matching improves the correlation, whereas copulas improve 21 the root-mean-square error.
doi:10.1109/tgrs.2013.2240691 fatcat:f5tgi46vxzehpbjkhg7mgxp5ky