EVALUATION OF ASSIMILATED SMOS SOIL MOISTURE DATA FOR US CROPLAND SOIL MOISTURE MONITORING

被引：3

作者：

Yang, Zhengwei ^{[1
]}

Shrestha, Ranjay ^{[2
]}

Crow, Wade ^{[3
]}

Bolten, John ^{[4
]}

Mladenova, Iva ^{[4
]}

Yu, Genong ^{[2
]}

Di, Liping ^{[2
]}

机构：

[1] USDA, Natl Agr Stat Serv, Washington, DC 20250 USA

[2] George Mason Univ, Ctr Spatial Informat Sci & Syst, Fairfax, VA 22032 USA

[3] ARS, Hydrol & Remote Sensing Lab, USDA, Beltsville, MD 20705 USA

[4] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

关键词：

SMOS; cropland soil moisture; assimilation; US soil moisture monitoring; Spearman rank correlation;

D O I：

10.1109/IGARSS.2016.7730366

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：

Remotely sensed soil moisture data can provide timely, objective and quantitative crop soil moisture information with broad geospatial coverage and sufficiently high resolution observations collected throughout the growing season. This paper evaluates the feasibility of using the assimilated ESA Soil Moisture Ocean Salinity (SMOS) Mission L-band passive microwave data for operational US cropland soil surface moisture monitoring. The assimilated SMOS soil moisture data are first categorized to match with the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) survey-based weekly soil moisture observation data, which are ordinal. The categorized assimilated SMOS soil moisture data are compared with NASS's survey-based weekly soil moisture data for consistency and robustness using visual assessment and rank correlation. Preliminary results indicate that the assimilated SMOS soil moisture data highly co-vary with NASS field observations across a large geographic area. Therefore, SMOS data have great potential for US operational cropland soil moisture monitoring.

引用

页码：5244 / 5247

页数：4

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