Data-based disaggregation of SMOS soil moisture

Author

Kornelsen, Kurt C. ; Coulibaly, Paulin

Author_Institution

Sch. of Geogr. & Earth Sci., McMaster Univ., Hamilton, ON, Canada

fYear

2014

fDate

13-18 July 2014

Firstpage

3334

Lastpage

3337

Abstract

The Soil Moisture and Ocean Salinity (SMOS) microwave radiometer is used to retrieve surface soil moisture with a grid resolution of 15 km. Due to various contributing factors SMOS soil moisture is known to have bias with respect to in situ soil moisture measurements and land surface models. For this reason it is common practice to match the cumulative distribution function (CDF) of retrieved soil moisture prior to analysis. Using the concept of temporal stability this study demonstrates that CDF matching is effective for correcting the bias at both grid and sub-grid scales with minimal impact on the time in-variant component of SMOS error.

Keywords

hydrological techniques; moisture; remote sensing; soil; SMOS error; SMOS microwave radiometer; SMOS soil moisture; cumulative distribution function; data-based disaggregation; grid resolution; soil moisture measurements; surface soil moisture; time in-variant component; Correlation; Distribution functions; Moisture measurement; Ocean temperature; Satellites; Soil measurements; Soil moisture; Land Surface; Radiometry; Soil Moisture and Ocean Salinity (SMOS); Soil moisture;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947194

Filename

6947194