干旱区生态环境知识资源中心(Arid): Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique

Arid

DOI	10.1029/2020GL091459
	Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique
	Song, Peilin; Zhang, Yongqiang; Tian, Jing
通讯作者	Zhang, YQ (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China.
来源期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
EISSN	1944-8007
出版年	2021
卷号	48 期号:5
英文摘要	Using optical remote sensing data to downscale microwave soil moisture is currently a crucial technique for producing fine-resolution soil moisture data set at large scales. Conventional soil moisture downscaling models are mainly developed and evaluated in arid or semi-arid regions, but have serious limitation in humid regions. To improve soil moisture estimates under a wide range of climate regimes, this study developed a nonlinear enhanced soil moisture downscaling model and evaluated it at a typical microwave resolution over the contiguous China. The enhanced model clearly outperforms the conventional approach in estimating surface soil moisture by reducing the Root Mean Square Error (RMSE) from 0.175 vol/vol to 0.075 vol/vol under wet climate. Finally, soil moisture downscaling is conducted by applying such models (built at the 25-km scale) at a finer (1-km) resolution. Validation result of downscaled soil moisture against in situ data set demonstrates the advantage of the enhanced model.
英文关键词	Downscaling Large scale Microwave remote sensing Soil evaporative efficiency Surface soil moisture
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000627892100011
WOS关键词	AMSR-E ; HIGH-RESOLUTION ; SMOS ; DISAGGREGATION ; REPRESENTATION ; DISPATCH
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350418
作者单位	[Song, Peilin; Zhang, Yongqiang; Tian, Jing] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Song, Peilin,Zhang, Yongqiang,Tian, Jing. Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique[J]. 中国科学院地理科学与资源研究所,2021,48(5).
APA	Song, Peilin,Zhang, Yongqiang,&Tian, Jing.(2021).Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique.GEOPHYSICAL RESEARCH LETTERS,48(5).
MLA	Song, Peilin,et al."Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique".GEOPHYSICAL RESEARCH LETTERS 48.5(2021).