气候变化领域集成服务门户(CCPortal): Potential of Mapping Global Soil Texture Type From SMAP Soil Moisture Product: A Pilot Study

CCPortal

DOI	10.1109/TGRS.2021.3119667
	Potential of Mapping Global Soil Texture Type From SMAP Soil Moisture Product: A Pilot Study
	Zhao, Long; Yang, Kun; He, Jie; Zheng, Hui; Zheng, Donghai
通讯作者	Zhao, L (通讯作者)
发表日期	2022
ISSN	0196-2892
EISSN	1558-0644
卷号	60
英文摘要	Soil texture and associated thermal and hydraulic parameters are key to land surface processes. Current global soil datasets are derived from limited soil samples, which are not only very costly but also prone to large uncertainties. While it is difficult to directly retrieve soil properties through satellite remote sensing, this study explores the feasibility of mapping global soil type and thereby corresponding soil texture through the Soil Moisture Active Passive (SMAP) soil moisture product without reference to soil samples. Specifically, for each grid-cell, 12 U.S. Department of Agriculture (USDA) soil types are first used to drive the Noah-MP land surface model and then the optimal one is obtained by referring to a four-year (2015-2018) SMAP soil moisture time series. The proposed scheme can reasonably map the global distribution of soil types in terms of sand/clay content and porosity that are close to the Global Soil Dataset for Earth System Models (GSDE) dataset and outperform the one used in the Global Land Data Assimilation System (GLDAS)/Noah model. The result of this pilot study is very encouraging as it purely relies on satellite data, which is especially important for remote areas where few soil samples are available and conventional soil datasets may have large biases. Further improvements may be achieved upon improved soil organic matter parameterization, through land data assimilation, and by considering additional satellite information.
关键词	LAND DATA ASSIMILATION NOAH MODEL PHYSICS SURFACE MODEL PEDOTRANSFER FUNCTIONS SMOS AUGMENTATIONS CALIBRATION RETRIEVALS CAPACITIES NETWORKS
英文关键词	Soil; Soil moisture; Land surface; Satellites; Soil properties; Calibration; Earth; Land surface model; Noah-MP; Soil Moisture Active Passive (SMAP); soil moisture; soil texture type
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000753505900024
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260635
推荐引用方式 GB/T 7714	Zhao, Long,Yang, Kun,He, Jie,et al. Potential of Mapping Global Soil Texture Type From SMAP Soil Moisture Product: A Pilot Study[J]. 中国科学院青藏高原研究所,2022,60.
APA	Zhao, Long,Yang, Kun,He, Jie,Zheng, Hui,&Zheng, Donghai.(2022).Potential of Mapping Global Soil Texture Type From SMAP Soil Moisture Product: A Pilot Study.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60.
MLA	Zhao, Long,et al."Potential of Mapping Global Soil Texture Type From SMAP Soil Moisture Product: A Pilot Study".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022).