DATA-BASED DISAGGREGATION OF SMOS SOIL MOISTURE

被引：2
|
作者：
Kornelsen, Kurt C. [1 ]
Coulibaly, Paulin [1 ]
机构：
[1] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada
来源：
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词：
Soil Moisture and Ocean Salinity (SAIOS); Soil moisture; Radiometry; Land Surface;
D O I：
10.1109/IGARSS.2014.6947194
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：4
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