DERIVING SOIL MOISTURE WITH THE COMBINED L-BAND RADAR AND RADIOMETER MEASUREMENTS

被引：0

作者：

Shi, Jiancheng ^{[1
]}

Chen, K. S. ^{[2
]}

Tsang, L. ^{[3
]}

Jackson, T. ^{[4
]}

Njoku, E. ^{[5
]}

Van Zyl, J. ^{[5
]}

O' Neill, P. ^{[6
]}

Entekhabi, D. ^{[7
]}

Johnson, J. ^{[8
]}

Moghaddam, M. ^{[9
]}

Entekhabi, D. ^{[7
]}

Johnson, J. ^{[8
]}

Moghaddam, M. ^{[9
]}

机构：

[1] Univ Calif Santa Barbara, ICESS, Santa Barbara, CA 93106 USA

[2] Natl Cent Univ, Ctr Space & Remote Sensing Res, Chungli 32001, Taiwan

[3] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA

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

[5] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA

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

[7] MIT, Cambridge, MA 02139 USA

[8] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA

[9] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

soil moisture; L-band radar and radiometer;

D O I：

10.1109/IGARSS.2010.5652424

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this study, we develop a combined active/passive technique to estimate surface soil moisture with the focus on the short vegetated surfaces. We first simulated a database for both active and passive signals under SMAP's sensor configurations using the radiative transfer model with a wide range of conditions for surface soil moisture, roughness and vegetation properties that we considered as the random orientated disks and cylinders. Using this database, we developed 1) the techniques to estimate surface backscattering and emission components and 2) the technique to estimate soil moisture with the estimated surface backscattering and emission components. We will demonstrate these techniques with the model simulated data and its validation with the airborne PALS image data from the soil moisture SGP'99 and SMEX'02 experiments.

引用

页码：812 / 815

页数：4

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