A MULTI-OBJECTIVE OPTIMIZATION APPROACH TO COMBINED RADAR-RADIOMETER SOIL MOISTURE ESTIMATION

被引：4

作者：

Akbar, Ruzbeh ^{[1
]}

Chan, Steven ^{[2
]}

Das, Nardenrda ^{[2
]}

Kim, Seung-Bum ^{[2
]}

Entekhabi, Dara ^{[3
]}

Moghaddam, Mahta ^{[1
]}

机构：

[1] Univ Southern Calif, Los Angeles, CA 90089 USA

[2] NASA, Jet Prop Lab, Pasadena, CA USA

[3] MIT, Cambridge, MA 02139 USA

来源：

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

关键词：

Soil Moisture; Radar; Radiometer; SMAP; SMAP; ALGORITHM;

D O I：

10.1109/IGARSS.2016.7729795

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：

With emphasis on physics-based techniques, a multi-objective optimization approach to combined radar-radiometer soil moisture estimation is presented in this work. Soil moisture estimation is demonstrated via application of this method to SMAP high resolution radar and coarse resolution radiometer data. Comparisons are then made with the SMAP baseline active-passive soil moisture output data product. A strong agreement between the two techniques, especially in capturing spatial distributions of soil moisture is observed.

引用

页码：3074 / 3077

页数：4

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