气候变化领域集成服务门户(CCPortal): Large scale operational soil moisture mapping from passive MW radiometry: SMOS product evaluation in Europe & USA

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DOI	10.1016/j.jag.2019.04.015
	Large scale operational soil moisture mapping from passive MW radiometry: SMOS product evaluation in Europe & USA
	Deng K.A.K.; Lamine S.; Pavlides A.; Petropoulos G.P.; Bao Y.; Srivastava P.K.; Guan Y.
发表日期	2019
ISSN	15698432
起始页码	206
结束页码	217
卷号	80
英文摘要	Earth Observation (EO) allows deriving from a range of sensors, often globally, operational estimates of surface soil moisture (SSM) at range of spatiotemporal resolutions. Yet, an evaluation of the accuracy of those products in a variety of environmental conditions has been often limited. In this study, the accuracy of the SMOS SSM global operational product across 2 continents (USA, and Europe) and a range of land use/cover types is investigated. SMOS predictions were compared against near concurrent in-situ SSM measurements from the FLUXNET observational network. In total, 7 experimental sites were used to assess the accuracy of SMOS derived soil moisture for 2 complete years of observations (2010–2011). The accuracy of the SMOS SSM product is investigated in different seasons for the seasonal cycle as well as different continents and land use/cover types. Results showed a generally reasonable agreement between the SMOS product and the in-situ soil moisture measurements in the 0–5 cm soil moisture layer. Root Mean Square Error (RMSE) in most cases was close to 0.1 m3 m−3 (minimum 0.067 m3 m−3). With a few exceptions, Pearson's correlation coefficient was found up to approx. 55%. Grassland, shrublands and woody savanna land cover types attained a satisfactory agreement between satellite derived and in-situ measurements but needleleaf forests had lower correlation. Better agreement was found for the grassland sites in both continents. Seasonally, summer and autumn underperformed spring and winter. Our study results provide supportive evidence of the potential value of this operational product for meso-scale studies in a range of practical applications, helping to address key challenges present nowadays linked to food and water security. © 2019 Elsevier B.V.
英文关键词	Earth observation; Operational products; SMOS; Surface soil moisture; Validation
语种	英语
scopus关键词	accuracy assessment; EOS; grassland; land cover; model validation; satellite data; seasonality; shrubland; soil moisture; spatial resolution; spatiotemporal analysis; Europe; United States
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156455
作者单位	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China; School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Faculty of Natural Sciences, Life and Earth Sciences, University Akli Mohand Oulhadj of Bouira, Bouira, 10000, Algeria; School of Mineral & Resources Engineering, Technical University of Crete, Crete, Greece; Department of Soil & Water Resources, Institute of Industrial & Forage Crops, Hellenic Agricultural Organization “Demeter”, Larisa, Greece; Institute of Environment and Sustainable Development, Banaras Hindu University, India; School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Deng K.A.K.,Lamine S.,Pavlides A.,et al. Large scale operational soil moisture mapping from passive MW radiometry: SMOS product evaluation in Europe & USA[J],2019,80.
APA	Deng K.A.K..,Lamine S..,Pavlides A..,Petropoulos G.P..,Bao Y..,...&Guan Y..(2019).Large scale operational soil moisture mapping from passive MW radiometry: SMOS product evaluation in Europe & USA.International Journal of Applied Earth Observation and Geoinformation,80.
MLA	Deng K.A.K.,et al."Large scale operational soil moisture mapping from passive MW radiometry: SMOS product evaluation in Europe & USA".International Journal of Applied Earth Observation and Geoinformation 80(2019).