气候变化领域集成服务门户(CCPortal): Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China

CCPortal

DOI	10.1109/JSTARS.2021.3108432
	Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China
	Wang, Zengyan; Che, Tao; Zhao, Tianjie; Dai, Liyun; Li, Xiaojun; Wigneron, Jean-Pierre
发表日期	2021
ISSN	1939-1404
EISSN	2151-1535
起始页码	8955
结束页码	8970
卷号	14
英文摘要	Long-term surface soil moisture (SM) data are increasingly needed in water budget and energy balance analysis of watersheds. The performance of nine remotely sensed SM products from Advanced Microwave Scanning Radiometer 2 (AMSR2), Soil Moisture and Ocean Salinity (SMOS), and Soil Moisture Active Passive (SMAP) missions are evaluated based on observations collected from distributed observation networks in the Heihe River Basin (HRB) of China during 2013 to 2017. Results show that the SMAP Level 3 dual channel algorithm SM retrievals reflect the seasonal SM variations well with high temporal correlations of similar to 0.7 and high accuracy within 0.04 m(3)/m(3) in terms of unbiased root mean squared error (ubRMSE) over the grassland in the HRB. The SMOS level 3 SM retrievals present increased underestimation and ubRMSE of similar to 0.10 m(3)/m(3) as the vegetation increases. The newly published SMOS Institut National de la Recherche Agronomique-Centre d'Etudes Spatiales de la BIOsphere product in version 2 outperforms the SMOS level 3 product with improved temporal correlation coefficient above 0.4 and lower ubRMSE of similar to 0.05 m(3)/m(3). AMSR2 Land Parameter Retrieval Algorithm SM products show extremely large overestimation over the vegetated regions in HRB, especially the C-band products. Drastically high underestimation biases are observed in the Japan Aerospace Exploration Agency AMSR2 SM product. Parameter uncertainty analyses indicate that the different parameterization schemes of vegetation optical depth inputs could be one of the main reasons resulting in the systematic overestimation/underestimation biases in the AMSR2/SMOS/SMAP SM retrievals. The findings aim to provide insights into studies on algorithms refinements and data fusions of SM products in HRB.
英文关键词	Soil moisture; Satellite broadcasting; Remote sensing; Land surface; Temperature measurement; Rivers; Microwave radiometry; Evaluation; Heihe River Basin (HRB); Japan Aerospace Exploration Agency (JAXA); Land Parameter Retrieval Algorithm (LPRM); Soil Moisture Active Passive (SMAP); Soil Moisture and Ocean Salinity (SMOS)-IC; Soil Moisture (SM)
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS关键词	VEGETATION OPTICAL DEPTH ; BAND MICROWAVE EMISSION ; HEIHE RIVER-BASIN ; RETRIEVAL ; ROUGHNESS ; TEMPERATURE ; CALIBRATION ; SATELLITE ; MODEL
WOS记录号	WOS:000696669900017
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/241040
作者单位	[Wang, Zengyan] Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow, Minist Educ, Kaifeng 475004, Peoples R China; [Wang, Zengyan] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China; [Che, Tao; Dai, Liyun] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China; [Che, Tao] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; [Zhao, Tianjie] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Li, Xiaojun; Wigneron, Jean-Pierre] INRAE Bordeaux, Interact Sol Plante Atmosphere, F-33140 Villenave Dornon, France
推荐引用方式 GB/T 7714	Wang, Zengyan,Che, Tao,Zhao, Tianjie,et al. Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China[J]. 中国科学院西北生态环境资源研究院,2021,14.
APA	Wang, Zengyan,Che, Tao,Zhao, Tianjie,Dai, Liyun,Li, Xiaojun,&Wigneron, Jean-Pierre.(2021).Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,14.
MLA	Wang, Zengyan,et al."Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 14(2021).