Skip to Main content Skip to Navigation
New interface
Journal articles

An approach to constructing a homogeneous time series of soil moisture using SMOS

Abstract : Overlapping soil moisture time series derived from two satellite microwave radiometers (the Soil Moisture and Ocean Salinity (SMOS) and the Advanced Microwave Scanning Radiometer-Earth Observing System) are used to generate a soil moisture time series from 2003 to 2010. Two statistical methodologies for generating long homogeneous time series of soil moisture are considered. Generated soil moisture time series using only morning satellite overpasses are compared to ground measurements from four watersheds in the U.S. with different climatologies. The two methods, cumulative density function (CDF) matching and copulas, are based on the same statistical theory, but the first makes the assumption that the two data sets are ordered the same way, which is not needed by the second. Both methods are calibrated in 2010, and the calibrated parameters are applied to the soil moisture data from 2003 to 2009. Results from these two methods compare well with ground measurements. However, CDF matching improves the correlation, whereas copulas improve the root-mean-square error.
Document type :
Journal articles
Complete list of metadata

Cited literature [75 references]  Display  Hide  Download
Contributor : Dominique Bruel Connect in order to contact the contributor
Submitted on : Friday, May 31, 2013 - 2:55:10 PM
Last modification on : Wednesday, November 16, 2022 - 11:46:08 AM
Long-term archiving on: : Sunday, September 1, 2013 - 5:55:08 AM


Publisher files allowed on an open archive




D. Leroux, Yann H. Kerr, E. F. Wood, A.K. Sahoo, R. Bindlish, et al.. An approach to constructing a homogeneous time series of soil moisture using SMOS. IEEE Transactions on Geoscience and Remote Sensing, 2013, 99, pp.1-13. ⟨10.1109/TGRS.2013.2240691⟩. ⟨ird-00828699⟩



Record views


Files downloads