干旱区生态环境知识资源中心(Arid): Evaluation of Remote Sensing and Reanalysis Products for Global Soil Moisture Characteristics

Arid

DOI	10.3390/su15119112
	Evaluation of Remote Sensing and Reanalysis Products for Global Soil Moisture Characteristics
	Zhang, Peng; Yu, Hongbo; Gao, Yibo; Zhang, Qiaofeng
通讯作者	Yu, HB
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2023
卷号	15 期号:11
英文摘要	Soil moisture (SM) exists at the land-atmosphere interface and serves as a key driving variable that affects global water balance and vegetation growth. Its importance in climate and earth system studies necessitates a comprehensive evaluation and comparison of mainstream global remote sensing/reanalysis SM products. In this study, we conducted a thorough verification of ten global remote sensing/reanalysis SM products: SMAP DCA, SMAP SCA-H, SMAP SCA-V, SMAP-IB, SMOS IC, SMOS L3, LPRM_C1, LPRM_C2, LPRM_X, and ERA5-Land. The verification was based on ground observation data from the International SM Network (ISMN), considering both static factors (such as climate zone, land cover type, and soil type) and dynamic factors (including SM, leaf area index, and land surface temperature). Our goal was to assess the accuracy and applicability of these products. We analyzed the spatial and temporal distribution characteristics of global SM and discussed the vegetation effect on SM products. Additionally, we examined the global high-frequency fluctuations in the SMAP L-VOD product, along with their correlation with the normalized difference vegetation index, leaf area index, and vegetation water content. Our findings revealed that product quality was higher in regions located in tropical and arid zones, closed shrubs, loose rocky soil, and gray soil with low soil moisture, low leaf area index, and high average land surface temperature. Among the evaluated products, SMAP-IB, SMAP DCA, SMAP SCA-H, SMAP SCA-V, and ERA5-Land consistently performed better, demonstrating a good ability to capture the spatial and temporal variations in SM and showing a correlation of approximately 0.60 with ISMN. SMOS IC and SMOS L3 followed in performance, while LPRM_C1, LPRM_C2, and LPRM_X exhibited relatively poor results in SM inversion. These findings serve as a valuable reference for improving satellite/reanalysis SM products and conducting global-scale SM studies.
英文关键词	microwave remote sensing soil moisture SMAP SMOS LPRM ERA5-Land
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:001006003300001
WOS关键词	SMAP ; SMOS ; RETRIEVALS ; RESOLUTION ; NETWORKS ; ASCAT
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398798
推荐引用方式 GB/T 7714	Zhang, Peng,Yu, Hongbo,Gao, Yibo,et al. Evaluation of Remote Sensing and Reanalysis Products for Global Soil Moisture Characteristics[J],2023,15(11).
APA	Zhang, Peng,Yu, Hongbo,Gao, Yibo,&Zhang, Qiaofeng.(2023).Evaluation of Remote Sensing and Reanalysis Products for Global Soil Moisture Characteristics.SUSTAINABILITY,15(11).
MLA	Zhang, Peng,et al."Evaluation of Remote Sensing and Reanalysis Products for Global Soil Moisture Characteristics".SUSTAINABILITY 15.11(2023).