Surface Roughness Effect on L-Band Multiangular Brightness Temperature Modeling and Soil Liquid Water Retrieval of Frozen Soil

doi:10.1109/LGRS.2020.3004712

	Surface Roughness Effect on L-Band Multiangular Brightness Temperature Modeling and Soil Liquid Water Retrieval of Frozen Soil
	Wu, Xiaojing 1; Zheng, Donghai 2
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2021-09-01
卷号	18 期号:9 页码:1615-1619
关键词	Frozen soil L-band microwave radiometry multiangular brightness temperatures polarization mixing soil moisture and ocean salinity (SMOS) surface roughness Tibetan Plateau
ISSN号	1545-598X
DOI	10.1109/LGRS.2020.3004712
通讯作者	Zheng, Donghai(zhengd@itpcas.ac.cn)
英文摘要	A less explored aspect of L-band microwave emission is the surface roughness effect on the multiangular brightness temperature (T-B(p)) modeling and retrieval of liquid water content (theta(liq)) in frozen soil. This letter investigates this effect based on a data set of multiangular ETH L-band radiometer (ELBARA-III) T-B(p) measurements performed in a seasonally frozen Tibetan meadow ecosystem. The surface roughness effect is first investigated via comparing the performance of the HQN model and Shi's parameterization of the integral equation model in simulating the measured T-B(p) signatures. Overestimations are noted for the two model simulations at the vertical polarization in comparison to the ELBARA-III measurements, and Shi's model with Gaussian autocorrelation function shows better performance especially for the vertical polarization at large incidence angles. The HQN model is then calibrated with the multiangular T-B(p) measurements, which leads to h = 0 and Q > 0 that depends on the polarization. As such, the noncoherent emission contribution to cross-polarization mixing can be accounted for by the HQN model. Furthermore, theta(liq) retrievals are derived from the multiangular T-B(p) measurements using the default and optimized HQN model and Shi's model and compared to the in situ theta(liq). Unbiased root-mean-square errors of less than 0.025 m(3) m(-3) are obtained for these retrievals, which are well within the satellite mission requirements. This study demonstrates that the multiangular Tp B modeling can be enhanced with site-specific calibration of the HQN model that also leads to the improvement of the theta(liq) retrievals, and consideration of polarization mixing is necessary for L-band emission modeling.
资助项目	National Natural Science Foundation of China[41871273]
WOS关键词	MOISTURE RETRIEVAL ; MICROWAVE EMISSION ; PARAMETERIZATION ; PERMITTIVITY ; SMOS
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000690441200029
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164932]
专题	中国科学院地理科学与资源研究所
通讯作者	Zheng, Donghai
作者单位	1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface P, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wu, Xiaojing,Zheng, Donghai. Surface Roughness Effect on L-Band Multiangular Brightness Temperature Modeling and Soil Liquid Water Retrieval of Frozen Soil[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2021,18(9):1615-1619.
APA	Wu, Xiaojing,&Zheng, Donghai.(2021).Surface Roughness Effect on L-Band Multiangular Brightness Temperature Modeling and Soil Liquid Water Retrieval of Frozen Soil.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,18(9),1615-1619.
MLA	Wu, Xiaojing,et al."Surface Roughness Effect on L-Band Multiangular Brightness Temperature Modeling and Soil Liquid Water Retrieval of Frozen Soil".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 18.9(2021):1615-1619.