DOI: 10.1016/j.jag.2015.10.006
Scopus记录号: 2-s2.0-85015931390
论文题名: An inter-comparison of soil moisture data products from satellite remote sensing and a land surface model
作者: Fang L ; , Hain C ; R ; , Zhan X ; , Anderson M ; C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 48 起始页码: 37
结束页码: 50
语种: 英语
英文关键词: Active and passive microwave
; Soil moisture product
; Thermal infrared remote sensing
; Validation
Scopus关键词: accuracy assessment
; infrared imagery
; land surface
; microwave imagery
; model validation
; remote sensing
; satellite data
; satellite imagery
; soil moisture
英文摘要: Significant advances have been achieved in generating soil moisture (SM) products from satellite remote sensing and/or land surface modeling with reasonably good accuracy in recent years. However, the discrepancies among the different SM data products can be considerably large, which hampers their usage in various applications. The bias of one SM product from another is well recognized in the literature. Bias estimation and spatial correction methods have been documented for assimilating satellite SM product into land surface and hydrologic models. Nevertheless, understanding the characteristics of each of these SM data products is required for many applications where the most accurate data products are desirable. This study inter-compares five SM data products from three different sources with each other, and evaluates them against in situ SM measurements over 14-year period from 2000 to 2013. Specifically, three microwave (MW) satellite based data sets provided by ESA's Climate Change Initiative (CCI) (CCI-merged, -active and -passive products), one thermal infrared (TIR) satellite based product (ALEXI), and the Noah land surface model (LSM) simulations. The in-situ SM measurements are collected from the North American Soil Moisture Database (NASMD), which involves more than 600 ground sites from a variety of networks. They are used to evaluate the accuracies of these five SM data products. In general, each of the five SM products is capable of capturing the dry/wet patterns over the study period. However, the absolute SM values among the five products vary significantly. SM simulations from Noah LSM are more stable relative to the satellite-based products. All TIR and MW satellite based products are relatively noisier than the Noah LSM simulations. Even though MW satellite based SM retrievals have been predominantly used in the past years, SM retrievals of the ALEXI model based on TIR satellite observations demonstrate skills equivalent to all the MW satellite retrievals and even slightly better over certain regions. Compared to the individual active and passive MW products, the merged CCI product exhibits higher anomaly correlation with both Noah LSM simulations and in-situ SM measurements. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80093
Appears in Collections: 气候变化事实与影响
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作者单位: Earth System Science Interdisciplinary Center, University of Maryland, 5825 University Research Court, College Park, MD, United States; NOAA/NESDIS/STAR, 5830 University Research Court, College Park, MD, United States; USDA-ARS, Hydrology and Remote Sensing Laboratory, 104 Bldg. 007, BARC-West, Beltsville, MD, United States
Recommended Citation:
Fang L,, Hain C,R,et al. An inter-comparison of soil moisture data products from satellite remote sensing and a land surface model[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,48