Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval

	Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval
	Zhao Tianjie 1; Shi Jiancheng 1; Rajat, Bindlish 1; Thomas, Jackson 1; Michael, Cosh 1; Jiang Lingmei 1; Zhang Zhongjun 1; Lan Huimin 1
刊名	PHYSICS AND CHEMISTRY OF THE EARTH
	2015
卷号	83-84 页码:3097-3113
关键词	Soil moisture L-band Roughness parameterization Exponential correlation SMOS SMAP
通讯作者	Zhao, TJ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
英文摘要	Surface soil moisture is an important parameter in hydrology and climate investigations. Current and future satellite missions with L-band passive microwave radiometers can provide valuable information for monitoring the global soil moisture. A factor that can play a significant role in the modeling and inversion of microwave emission from land surfaces is the surface roughness. In this study, an L-band parametric emission model for exponentially correlated surfaces was developed and implemented in a soil moisture retrieval algorithm. The approach was based on the parameterization of an effective roughness parameter of Hp in relation with the geometric roughness variables (root mean square height s and correlation length l) and incidence angle. The parameterization was developed based on a large set of simulations using an analytical approach incorporated in the advanced integral equation model (AIEM) over a wide range of geophysical properties. It was found that the effective roughness parameter decreases as surface roughness increases, but increases as incidence angle increases. In contrast to previous research, Hp was found to be expressed as a function of a defined slope parameter m = s(2)/l, and coefficients of the function could be well described by a quadratic equation. The parametric model was then tested with L-band satellite data in soil moisture retrieval algorithm over the Little Washita watershed, which resulted in an unbiased root mean square error of about 0.03 m(3)/m(3) and 0.04 m(3)/m(3) for ascending and descending orbits, respectively. (C) 2015 Elsevier Ltd. All rights reserved.
研究领域[WOS]	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000370447200007
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38299]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Zhao Tianjie 2.Shi Jiancheng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 3.[Zhao Tianjie 4.Shi Jiancheng] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China 5.[Rajat, Bindlish 6.Thomas, Jackson 7.Michael, Cosh] ARS, Hydrol & Remote Sensing Lab, USDA, Beltsville, MD 20705 USA 8.[Jiang Lingmei] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China 9.[Zhang Zhongjun 10.Lan Huimin] Beijing Normal Univ, Sch Informat Sci & Technol, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Zhao Tianjie,Shi Jiancheng,Rajat, Bindlish,et al. Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2015,83-84:3097-3113.
APA	Zhao Tianjie.,Shi Jiancheng.,Rajat, Bindlish.,Thomas, Jackson.,Michael, Cosh.,...&Lan Huimin.(2015).Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval.PHYSICS AND CHEMISTRY OF THE EARTH,83-84,3097-3113.
MLA	Zhao Tianjie,et al."Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval".PHYSICS AND CHEMISTRY OF THE EARTH 83-84(2015):3097-3113.