气候变化领域集成服务门户(CCPortal): Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models

CCPortal

DOI	10.1016/j.rse.2019.111502
	Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models
	Li X.; Al-Yaari A.; Schwank M.; Fan L.; Frappart F.; Swenson J.; Wigneron J.-P.
发表日期	2020
ISSN	00344257
卷号	236
英文摘要	Since 2010, SMOS (Soil Moisture and Ocean Salinity) retrievals of surface soil moisture (SM) and vegetation optical depth (VOD) have been produced through the inversion of the so-called Tau-Omega (TO) vegetation emission model. Tau-Omega is a 0th-order solution of the radiative transfer equations that neglects multiple scattering, conversely to 1st-order solutions as Two-Stream (2S). To date, very little is known about the compared retrieval performances of these emission models. Here, we inter-compared (SM, VOD) retrievals using the SMOS-IC algorithm running with the TO and 2S emission models. Retrieval performances obtained from TO and 2S were found to be relatively similar, except that a larger dry bias and a slightly lower SM unbiased RMSD were obtained with 2S and the VOD values of the two models vary over dense vegetation areas, both in terms of magnitude and seasonal variations. Considering this and the enhanced physical background of 2S that allows its implementation as a unified emission model for different applications, our study reveals the high interest of using Two-Stream in global retrieval algorithms at L-band. © 2019 Elsevier Inc.
英文关键词	Biomass; ECMWF; Global retrievals; ISMN; Microwave emission model; MODIS NDVI; SMOS-IC; Soil moisture; Tau-omega; Two-stream; Vegetation optical depth
语种	英语
scopus关键词	Biomass; Information retrieval; Optical properties; Timing circuits; Vegetation; Video on demand; ECMWF; Global retrievals; ISMN; Microwave emission models; Modis ndvi; Tau-omega; Two-stream; Vegetation optical depth; Soil moisture; algorithm; biomass; model; MODIS; NDVI; optical depth; radiative transfer; seasonal variation; SMOS; soil moisture; vegetation type
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179578
作者单位	INRA, UMR1391 ISPA, Villenave d'OrnonF-33140, France; Sorbonne Université, UMR 7619 METIS, Case 105, 4 place Jussieu, Paris, F-75005, France; Swiss Federal Research Institute WSL, BirmensdorfCH-8903, Switzerland; Gamma Remote Sensing AG, GümligenCH-3073, Switzerland; School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), Toulouse, 31400, France; Nicholas School of the Environment, Duke University, Durham, NC 27708, United States
推荐引用方式 GB/T 7714	Li X.,Al-Yaari A.,Schwank M.,et al. Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models[J],2020,236.
APA	Li X..,Al-Yaari A..,Schwank M..,Fan L..,Frappart F..,...&Wigneron J.-P..(2020).Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models.Remote Sensing of Environment,236.
MLA	Li X.,et al."Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models".Remote Sensing of Environment 236(2020).