An Algorithm for Retrieving Soil Moisture Using L-Band H-Polarized Multiangular Brightness Temperature Data

	An Algorithm for Retrieving Soil Moisture Using L-Band H-Polarized Multiangular Brightness Temperature Data
	Cui, Qian 1; Dong, Xiaolong 1; Shi, Jiancheng 1; Zhao, Tianjie 1; Xiong, Chuan 1
刊名	IEEE Geoscience and Remote Sensing Letters
	2016
卷号	13 期号:9 页码:1295-1299
关键词	ACCURATE DISPLACEMENT MEASUREMENT ERROR REDUCTION DEFORMATION MEASUREMENT MEAN INTENSITY ALGORITHM PATTERNS SCHEME
英文摘要	This letter presents an algorithm for retrieving soil moisture using only H-polarized multiangular brightness temperature at L-band. We developed a parameterized surface model based on a simple-empirical model, the Hpmodel, for this retrieval algorithm. By analyzing a simulated database using the advanced integral equation model (AIEM), it was found that the roughness variable Hhcan be parameterized as a function of an effective roughness parameter Sr=(kLs2-N(s/l)N. Influences of three surface roughness parameters (e.g., rms height, correlation length, and type of autocorrelation function) required to describe a rough surface on surface reflectivity were all considered in this parameterized model. Comparison with AIEM simulations over a wide range of soil conditions indicates a good performance of this model. Then, based on the ω-τ model, this algorithm is applied on refined SMOS H-polarized multiangular brightness temperature. Retrieved soil moisture in Africa exhibits reasonable patterns and temporal changes. Validation using in situ soil moisture from Little Washita watershed and Yanco over 2010-2011 showed fine accuracy with root-mean-square errors of 0.031 and 0.045 m3/m3for two areas, respectively. © 2016 IEEE.
学科主题	Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology
类目[WOS]	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20162902613553
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39447]
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. Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 2.100190, China 3. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 4.100101, China 5. Joint Center for Global Change Studies, Beijing 6.100875, China
推荐引用方式 GB/T 7714	Cui, Qian,Dong, Xiaolong,Shi, Jiancheng,et al. An Algorithm for Retrieving Soil Moisture Using L-Band H-Polarized Multiangular Brightness Temperature Data[J]. IEEE Geoscience and Remote Sensing Letters,2016,13(9):1295-1299.
APA	Cui, Qian,Dong, Xiaolong,Shi, Jiancheng,Zhao, Tianjie,&Xiong, Chuan.(2016).An Algorithm for Retrieving Soil Moisture Using L-Band H-Polarized Multiangular Brightness Temperature Data.IEEE Geoscience and Remote Sensing Letters,13(9),1295-1299.
MLA	Cui, Qian,et al."An Algorithm for Retrieving Soil Moisture Using L-Band H-Polarized Multiangular Brightness Temperature Data".IEEE Geoscience and Remote Sensing Letters 13.9(2016):1295-1299.