Satellite remote sensing applications for surface soil moisture monitoring: A review

doi:10.1007/s11707-009-0023-7

Front Earth Sci Chin

2009, Vol. 3

Issue (2) : 237-247 https://doi.org/10.1007/s11707-009-0023-7

REVIEW ARTICLE

Satellite remote sensing applications for surface soil moisture monitoring: A review

Lingli WANG(

), John J. QU

EastFIRE Laboratory, Environmental Science and Technology Center (ESTC), College of Science, George Mason University, Fairfax, VA 22030, USA

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Abstract

Surface soil moisture is one of the crucial variables in hydrological processes, which influences the exchange of water and energy fluxes at the land surface/atmosphere interface. Accurate estimate of the spatial and temporal variations of soil moisture is critical for numerous environmental studies. Recent technological advances in satellite remote sensing have shown that soil moisture can be measured by a variety of remote sensing techniques, each with its own strengths and weaknesses. This paper presents a comprehensive review of the progress in remote sensing of soil moisture, with focus on technique approaches for soil moisture estimation from optical, thermal, passive microwave, and active microwave measurements. The physical principles and the status of current retrieval methods are summarized. Limitations existing in current soil moisture estimation algorithms and key issues that have to be addressed in the near future are also discussed.

Keywords surface soil moisture monitoring satellite remote sensing

Corresponding Author(s): WANG Lingli,Email:lwang2@gmu.edu

Issue Date: 05 June 2009

Cite this article:

Lingli WANG,John J. QU. Satellite remote sensing applications for surface soil moisture monitoring: A review[J]. Front Earth Sci Chin, 2009, 3(2): 237-247.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-009-0023-7
https://academic.hep.com.cn/fesci/EN/Y2009/V3/I2/237

Tab.1 Summary of remote sensing techniques for near-surface soil moisture estimation (after Engman, 1991; Moran et al., 2004).

Fig.1 Universal triangle relationship between soil moisture, temperature, and NDVI ()

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