气候变化领域集成服务门户(CCPortal): Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem

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DOI	10.1109/TGRS.2018.2811318
	Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem
	Zheng, Donghai; van der Velde, Rogier; Wen, Jun; Wang, Xin; Ferrazzoli, Paolo; Schwank, Mike; Colliander, Andreas; Bindlish, Rajat; Su, Zhongbo
通讯作者	Zheng, DH (通讯作者)
发表日期	2018
ISSN	0196-2892
EISSN	1558-0644
起始页码	3786
结束页码	3799
卷号	56 期号:7
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.
关键词	BAND MICROWAVE EMISSION BARE SOIL SURFACE-ROUGHNESS 3RD POLE 1.4 GHZ TEMPERATURE SMOS TOPOGRAPHY PRODUCTS PLATEAU
英文关键词	Effective temperature; soil emission; soil moisture (SM); Soil Moisture Active Passive (SMAP); surface roughness; Tibetan Plateau; topography
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000436418200013
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259362
推荐引用方式 GB/T 7714	Zheng, Donghai,van der Velde, Rogier,Wen, Jun,et al. Assessment of the SMAP Soil Emission Model and Soil Moisture Retrieval Algorithms for a Tibetan Desert Ecosystem[J]. 中国科学院青藏高原研究所,2018,56(7).
APA	Zheng, Donghai.,van der Velde, Rogier.,Wen, Jun.,Wang, Xin.,Ferrazzoli, Paolo.,...&Su, Zhongbo.(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).
MLA	Zheng, Donghai,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).