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Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem
Colliander, A (Colliander, Andreas)8; Su, ZB (Su, Zhongbo)2; 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; Bindlish, R (Bindlish, Rajat)9
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2018-07-01
卷号56期号:7页码:3786-3799
关键词BAND MICROWAVE EMISSION BARE SOIL SURFACE-ROUGHNESS 3RD POLE 1.4 GHZ TEMPERATURE SMOS TOPOGRAPHY PRODUCTS PLATEAU
ISSN号0196-2892
DOI10.1109/TGRS.2018.2811318
英文摘要The 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:000436418200013
内容类型期刊论文
源URL[http://ir.itpcas.ac.cn/handle/131C11/8614]  
专题青藏高原研究所_图书馆
作者单位1.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.
推荐引用方式
GB/T 7714
Colliander, A ,Su, ZB ,Zheng, DH ,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 Colliander, A .,Su, ZB .,Zheng, DH .,van der Velde, R .,Wen, J .,...&Bindlish, R .(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 Colliander, A ,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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