气候变化领域集成服务门户(CCPortal): The Verification and Fusion Analysis of Passive Microwave Soil Moisture Products in the Three Northeastern Provinces of China

CCPortal

DOI	10.3390/atmos15040441
	The Verification and Fusion Analysis of Passive Microwave Soil Moisture Products in the Three Northeastern Provinces of China
	Wang, Chunnuan; Yu, Tao; Gu, Xingfa; Wang, Chunmei; Zheng, Xingming; Xie, Qiuxia; Yang, Jian; Liu, Qiyue; Zhang, Lili; Li, Juan; Li, Lingling; Liu, Miao; Ru, Meiyu; Qiu, Xinxin
发表日期	2024
EISSN	2073-4433
起始页码	15
结束页码	4
卷号	15 期号:4
英文摘要	The utilization of remote sensing soil moisture products in agricultural and hydrological studies is on the rise. Conducting a regional applicability analysis of these soil moisture products is essential as a preliminary step for their effective utilization. The triple collocation (TC) method enables the estimation of the standard deviation of errors in products when true soil moisture values are unavailable. It assesses data uncertainty and mitigates the influence of product errors on fusion, thereby enhancing product accuracy significantly. In this study, the TC uncertainty error analysis was employed to integrate Soil Moisture Active Passive (SMAP), the Advanced Microwave Scanning Radiometer 2 (AMSR-2), and the European Space Agency Climate Change Initiative (ESA CCI) active (ESA CCI A) and passive (ESA CCI P) products, with ground-based measurements serving as a reference. Traditional evaluation metrics, such as the correlation coefficient (R), bias, root mean square error (RMSE), and unin situed root mean square error (ubRMSE), were employed to evaluate the accuracy of the product. The findings indicate that SMAP and ESA CCI P products demonstrate strong spatiotemporal continuity within the research area and exhibit low uncertainty across various land types. The products derived from the Advanced Microwave Scanning Radiometer 2 (AMSR-2) exhibit a high level of temporal and spatial continuity; however, there is a requirement for enhancing their accuracy. The products of ESA CCI A exhibit notable spatiotemporal disjunction, contributing significantly to their elevated level of uncertainty. After fusion with TC analysis, the correlation coefficient (R = 0.7) of the TC-2 product derived from the fusion of SMAP, AMSR-2, and ESA CCI P products is significantly higher than the correlation coefficient of the TC-1 product (R = 0.65) obtained from the fusion of SMAP, AMSR-2, and ESA CCI A products at a 95% confidence level. The integration of data can efficiently mitigate the challenges associated with spatiotemporal gaps and inaccuracies in products, offering a dependable foundation for the subsequent utilization of remote sensing products.
英文关键词	triple collocation; soil moisture; remote sensing; data fusion
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001210421300001
来源期刊	ATMOSPHERE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303662
作者单位	Chinese Academy of Sciences; North China Institute of Aerospace Engineering; Chinese Academy of Sciences; Northeast Institute of Geography & Agroecology, CAS; Shandong Jianzhu University
推荐引用方式 GB/T 7714	Wang, Chunnuan,Yu, Tao,Gu, Xingfa,et al. The Verification and Fusion Analysis of Passive Microwave Soil Moisture Products in the Three Northeastern Provinces of China[J],2024,15(4).
APA	Wang, Chunnuan.,Yu, Tao.,Gu, Xingfa.,Wang, Chunmei.,Zheng, Xingming.,...&Qiu, Xinxin.(2024).The Verification and Fusion Analysis of Passive Microwave Soil Moisture Products in the Three Northeastern Provinces of China.ATMOSPHERE,15(4).
MLA	Wang, Chunnuan,et al."The Verification and Fusion Analysis of Passive Microwave Soil Moisture Products in the Three Northeastern Provinces of China".ATMOSPHERE 15.4(2024).