气候变化领域集成服务门户(CCPortal): Calibration of the ESA CCI-Combined Soil Moisture Products on the Qinghai-Tibet Plateau

CCPortal

DOI	10.3390/rs15040918
	Calibration of the ESA CCI-Combined Soil Moisture Products on the Qinghai-Tibet Plateau
	Yu, Wenjun; Li, Yanzhong; Liu, Guimin
发表日期	2023
EISSN	2072-4292
卷号	15 期号:4
英文摘要	Soil moisture (SM) retrieved from satellite and spaceborn sensors provides useful parameters for earth system models (ESMs). The Climate Change Initiative (CCI) SM products released by the European Space Agency have been widely used in many humid/semi-humid climatic regions due to their relatively long-term record. However, the performance of these products in cold and arid regions, such as the Qinghai-Tibetan Plateau (QTP), is largely unknown, necessitating urgent evaluation and calibration in these areas. In this work, we evaluated the reliability and improved the accuracy of the active-passive combined CCI products (CCI-C) using in-situ measured SM contents (SMC) under different underlying surface conditions. First, some conventional models were used to investigate the relationship between the CCI-C and the in-situ observed SMC, yielding similar fitting performances. Next, the random forest method and multiple linear regression were used to contrast the conventional models to calibrate and validate the CCI-C SM product based on the in-situ observed SMC, and the random forest method was found to have the highest accuracy. However, calibration of the CCI-C SM data with the best-performed random forest method based on different spatial zonation methods, e.g., by climate, topography, land cover, and vegetation, resulted in distinct spatial patterns of SM. Compared to a widely-used satellite SM product, namely the Soil Moisture Active Passive (SMAP) SM dataset, the calibrated CCI-C SM data based on climatic and vegetation zonation were larger but had similar spatial patterns. This study also points to the value of the calibrated CCI-C SM product to support land surface studies on the QTP.
关键词	cold and arid regions CCI SM products random forest accuracy assessment SMAP
英文关键词	SATELLITE; MODEL; VEGETATION; TREND; TEMPERATURE; VARIABILITY
WOS研究方向	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000940661600001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283430
作者单位	Nanjing University of Information Science & Technology; Lanzhou Jiaotong University
推荐引用方式 GB/T 7714	Yu, Wenjun,Li, Yanzhong,Liu, Guimin. Calibration of the ESA CCI-Combined Soil Moisture Products on the Qinghai-Tibet Plateau[J],2023,15(4).
APA	Yu, Wenjun,Li, Yanzhong,&Liu, Guimin.(2023).Calibration of the ESA CCI-Combined Soil Moisture Products on the Qinghai-Tibet Plateau.REMOTE SENSING,15(4).
MLA	Yu, Wenjun,et al."Calibration of the ESA CCI-Combined Soil Moisture Products on the Qinghai-Tibet Plateau".REMOTE SENSING 15.4(2023).