干旱区生态环境知识资源中心(Arid): SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval

Arid

DOI	10.3390/s19071532
	SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval
	Masiello, Guido 1; Serio, Carmine 1; Venafra, Sara 1; Poutier, Laurent 2; Goettsche, Frank-M.3
通讯作者	Masiello, Guido
来源期刊	SENSORS
ISSN	1424-8220
出版年	2019
卷号	19 期号:7
英文摘要	Timely processing of observations from multi-spectral imagers, such as SEVIRI (Spinning Enhanced Visible and Infrared Imager), largely depends on fast radiative transfer calculations. This paper mostly concerns the development and implementation of a new forward model for SEVIRI to be applied to real time processing of infrared radiances. The new radiative transfer model improves computational time by a factor of approximate to 7 compared to the previous versions and makes it possible to process SEVIRI data at nearly real time. The new forward model has been applied for the retrieval of surface parameters. Although the scheme can be applied for the simultaneous retrieval of temperature and emissivity, the paper mostly focuses on emissivity. The inverse scheme relies on a Kalman filter approach, which allows us to exploit a sequential processing of SEVIRI observations. Based on the new forward model, the paper also presents a validation retrieval performed with in situ observations acquired during a field experiment carried out in 2017 at Gobabeb (Namib desert) validation station. Furthermore, a comparison with IASI (Infrared Atmospheric Sounder Interferometer) emissivity retrievals has been performed as well. It has been found that the retrieved emissivities are in good agreement with each other and with in situ observations, i.e., average differences are generally well below 0.01.
英文关键词	fast forward model infrared emissivity spectrum satellite validation
类型	Article
语种	英语
国家	Italy ; France ; Germany
开放获取类型	Green Published, Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000465570700051
WOS关键词	LAND-SURFACE TEMPERATURE ; SIMULTANEOUS PHYSICAL RETRIEVAL ; VALIDATION ; PARAMETERS ; SCHEME ; ASTER
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218840
作者单位	1.Univ Basilicata, Sch Engn, I-85100 Potenza, Italy; 2.Off Natl Etud & Rech Aerosp, French Aerosp Lab, 2 Ave Edouard Belin, F-31055 Toulouse, France; 3.Karlsruhe Inst Technol, IMK ASF, Hermann von Helmholtz Pl 1, D-76344 Eggenstein Leopoldshafen, Germany
推荐引用方式 GB/T 7714	Masiello, Guido,Serio, Carmine,Venafra, Sara,et al. SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval[J],2019,19(7).
APA	Masiello, Guido,Serio, Carmine,Venafra, Sara,Poutier, Laurent,&Goettsche, Frank-M..(2019).SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval.SENSORS,19(7).
MLA	Masiello, Guido,et al."SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval".SENSORS 19.7(2019).