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Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem
Zheng, DH (Zheng, Donghai)1,2; van der Velde, R (van der Velde, Rogier)2; Wen, J (Wen, Jun)3; Wang, X (Wang, Xin)4; Ferrazzoli, P (Ferrazzoli, Paolo)5; Schwank, M (Schwank, Mike)6,7; Colliander, A (Colliander, Andreas)8; Bindlish, R (Bindlish, Rajat)9; Su, ZB (Su, Zhongbo)2
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2018-07-01
Volume56Issue:7Pages:3786-3799
DOI10.1109/TGRS.2018.2811318
AbstractThe Soil Moisture Active Passive (SMAP) satellite mission launched in January 2015 provides worldwide soil moisture (SM) monitoring based on L-band brightness temperature (T-B(p)) measurements at horizontal (T-B(H)) and vertical (T-B(V)) polarizations. This paper presents a performance assessment of SMAP soil emission model and SM retrieval algorithms for a Tibetan desert ecosystem. It is found that the SMAP emission model largely underestimates the SMAP measured T-B(H) (approximate to 15 K), and the T-B(V) is underestimated during dry-down episodes. A cold bias is noted for the SMAP effective temperature due to underestimation of soil temperature, leading to the T-B(p) underestimation (> 5 K). The remaining T-B(H) underestimation is found to be related to the surface roughness parameterization that underestimates its effect on modulating the T-B(p) measurements. Further, the topography and uncertainty of soil information are found to have minor impacts on the T-B(p) simulations. The SMAP baseline SM products produced by single-channel algorithm (SCA) using the T-B(V) measurements capture the measured SM dynamics well, while an underestimation is noted for the dry-down periods because of T-B(V) underestimation. The products based on the SCA with T-B(H) measurements underestimate the SM due to underestimation of T-B(H), and the dual-channel algorithm overestimates the SM. After implementing a new surface roughness parameterization and improving the soil temperature and texture information, the deficiencies noted above in T-B(p) simulation and SM retrieval are greatly resolved. This indicates that the SMAP SM retrievals can be enhanced by improving both surface roughness and adopted soil temperature and texture information for Tibetan desert ecosystem.
WOS IDWOS:000436418200013
Language英语
Indexed BySCIE
KeywordBAND MICROWAVE EMISSION BARE SOIL SURFACE-ROUGHNESS 3RD POLE 1.4 GHZ TEMPERATURE SMOS TOPOGRAPHY PRODUCTS PLATEAU
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
Cooperation Status国际
ISSN0196-2892
Department环境变化与地表过程重点实验室
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8614
Collection图书馆
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China;
2.Univ Twente, Fac Geoinformat Sci & Earth Observat, NL-7500 AE Enschede, Netherlands;
3.Chengdu Univ Informat Technol, Coll Atmospher Sci, Plateau Atmosphere & Environm Key Lab Sichuan Pro, Chengdu 610225, Sichuan, Peoples R China;
4.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Gansu, Peoples R China;
5.Univ Roma Tor Vergata, Dipartimento Ingn Civile & Ingn Informat, Via Politecn, I-00133 Rome, Italy;
6.Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland;
7.Gamma Remote Sensing Res & Consulting AG, CH-3073 Gumlingen, Switzerland;
8.CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA;
9.NASA, Goddard Space Flight Ctr, Hydrol Sci Lab, Greenbelt, MD 20771 USA.
Recommended Citation
GB/T 7714
Zheng, DH ,van der Velde, R ,Wen, J ,et al. Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(7):3786-3799.
APA Zheng, DH .,van der Velde, R .,Wen, J .,Wang, X .,Ferrazzoli, P .,...&Su, ZB .(2018).Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(7),3786-3799.
MLA Zheng, DH ,et al."Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.7(2018):3786-3799.
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