干旱区生态环境知识资源中心(Arid): Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale

Arid

DOI	10.1016/j.geoderma.2023.116388
	Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale
	Min, Xiaoxiao; Li, Danlu; Shangguan, YuLin; Tian, Shuo; Shi, Zhou
通讯作者	Shi, Z
来源期刊	GEODERMA
ISSN	0016-7061
EISSN	1872-6259
出版年	2023
卷号	432
英文摘要	Satellite-based soil moisture (SM) products exhibit distinct error patterns at various timescales. Knowledge of their accuracy characteristics for capturing different SM signals is significant for many real-world applications in soil sciences. This study conducted a comprehensive evaluation of the following eight satellite-based SM prod-ucts: the Soil Moisture and Ocean Salinity-Institut National de la Recherche Agronomique and Centre d'Etudes Spatiales de la BIOsphere version 2 (SMOS-IC-V2), the Level 3 (L3) Soil Moisture Active Passive V7 (SMAP-V7), the combined European Space Agency Climate Change Initiative V06.1 (ESA CCI-V06.1), the L3 SMOS V3, the L3 Advanced Microwave Scanning Radiometer (AMSR2) V3 from the Japan Aerospace Exploration Agency (JAXA), the L3 Land Parameter Retrieval Model (LPRM) C1-and X-band AMSR2 V001, and the Chinese FengYun-3B V1. By using >1,500 sites from the International Soil Moisture Network and triple collocation analysis, this study aimed to identify not only the relative strengths of the products for detecting original SM signals, short-term SM anomalies, and long-term SM seasonality, but also the impacts of land cover, soil organic carbon (SOC), and soil texture on their retrieval accuracy. In terms of capturing the temporal dynamics of SM anomalies, SMAP-V7 outperformed SMOS-IC-V2 and ESA CCI-V06.1. In arid and semi-arid areas, LPRM C1-band AMSR2 V001 out-performed SMOS-ICV2 and SMAP-V7, in terms of detecting SM seasonality. SMAP-V7, SMOS-ICV2, and ESA CCI-V06.1 effectively captured SM seasonality over most forest zones and effectively detected short-term SM anomalies over croplands and grasslands. The L-band products showed the highest accuracy in terms of capturing the temporal dynamics of all the SM signals when the clay fraction was in the range of 20 %-25 %. Most products had difficulties in detecting SM variations over bare deserts, sandy and clay soils, and soils rich in organic matter (SOC content > 8.72 %).
英文关键词	Soil moisture Evaluation SMOS-IC SMAP ESA CCI Soil properties
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000948666300001
WOS关键词	TRIPLE COLLOCATION ; AMSR-E ; RADIOFREQUENCY INTERFERENCE ; LAND SURFACES ; SMAP ; SMOS ; CALIBRATION ; VALIDATION ; VARIABILITY ; RETRIEVALS
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396688
推荐引用方式 GB/T 7714	Min, Xiaoxiao,Li, Danlu,Shangguan, YuLin,et al. Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale[J],2023,432.
APA	Min, Xiaoxiao,Li, Danlu,Shangguan, YuLin,Tian, Shuo,&Shi, Zhou.(2023).Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale.GEODERMA,432.
MLA	Min, Xiaoxiao,et al."Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale".GEODERMA 432(2023).