Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm

doi:10.1155/2017/7398312

	Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm
	Zhang, Yu-Ze 1; Jiang, Xiao-Guang 1,2,3; Wu, Hua 1,2,4; Jiang, Ya-Zhen 1; Liu, Zhao-Xia 5; Huang, Cheng 1
刊名	ADVANCES IN METEOROLOGY
	2017
页码	10
ISSN号	1687-9309
DOI	10.1155/2017/7398312
通讯作者	Wu, Hua(wuhua@igsnrr.ac.cn)
英文摘要	The Cross-track Infrared Sounder (CrIS) is one of the most advanced hyperspectral instruments and has been used for various atmospheric applications such as atmospheric retrievals and weather forecast modeling. However, because of the specific design purpose of CrIS, little attention has been paid to retrieving land surface parameters from CrIS data. To take full advantage of the rich spectral information in CrIS data to improve the land surface retrievals, particularly the acquisition of a continuous Land Surface Emissivity (LSE) spectrum, this paper attempts to simultaneously retrieve a continuous LSE spectrum and the Land Surface Temperature (LST) from CrIS data with the atmospheric reanalysis data and the Iterative Spectrally Smooth Temperature and Emissivity Separation (ISSTES) algorithm. The results show that the accuracy of the retrieved LSEs and LST is comparable with the current land products. The overall differences of the LST and LSE retrievals are approximately 1.3K and 1.48%, respectively. However, the LSEs in our study can be provided as a continuum spectrum instead of the single-channel values in traditional products. The retrieved LST and LSEs now can be better used to further analyze the surface properties or improve the retrieval of atmospheric parameters.
资助项目	National Key Basic Research Program of China (973 Program)[2013CB733402] ; National Natural Science Foundation of China[41331171] ; National Natural Science Foundation of China[41571352] ; National Natural Science Foundation of China[41471297] ; National Natural Science Foundation of China[41401394] ; Innovation Project of LREIS[O88RA801YA]
WOS关键词	SPACEBORNE THERMAL EMISSION ; RADIOMETER ASTER IMAGES ; RETRIEVAL ; PRODUCTS ; VALIDATION ; SENSORS ; VIIRS ; AREA
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	HINDAWI LTD
WOS记录号	WOS:000409206800001
资助机构	National Key Basic Research Program of China (973 Program) ; National Natural Science Foundation of China ; Innovation Project of LREIS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/61698]
专题	中国科学院地理科学与资源研究所
通讯作者	Wu, Hua
作者单位	1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Acad Optoelect, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China 5.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yu-Ze,Jiang, Xiao-Guang,Wu, Hua,et al. Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm[J]. ADVANCES IN METEOROLOGY,2017:10.
APA	Zhang, Yu-Ze,Jiang, Xiao-Guang,Wu, Hua,Jiang, Ya-Zhen,Liu, Zhao-Xia,&Huang, Cheng.(2017).Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm.ADVANCES IN METEOROLOGY,10.
MLA	Zhang, Yu-Ze,et al."Land Surface Temperature and Emissivity Separation from Cross-Track Infrared Sounder Data with Atmospheric Reanalysis Data and ISSTES Algorithm".ADVANCES IN METEOROLOGY (2017):10.