Retrieval of Global Orbit Drift Corrected Land Surface Temperature from Long-term AVHRR Data

doi:10.3390/rs11232843

	Retrieval of Global Orbit Drift Corrected Land Surface Temperature from Long-term AVHRR Data
	Liu, Xiangyang 1,2,3; Tang, Bo-Hui 1,2; Yan, Guangjian 4; Li, Zhao-Liang 1,2,3; Liang, Shunlin 5
刊名	REMOTE SENSING
	2019-12-01
卷号	11 期号:23 页码:23
关键词	land surface temperature (LST) long-term NOAA-AVHRR generalized split-window (GSW) orbit drift correction (ODC) diurnal temperature cycle (DTC)
DOI	10.3390/rs11232843
通讯作者	Tang, Bo-Hui(tangbh@igsnrr.ac.cn)
英文摘要	Advanced Very High Resolution Radiometer (AVHRR) sensors provide a valuable data source for generating long-term global land surface temperature (LST). However, changes in the observation time that are caused by satellite orbit drift restrict their wide application. Here, a generalized split-window (GSW) algorithm was implemented to retrieve the LST from the time series AVHRR data. Afterwards, a novel orbit drift correction (ODC) algorithm, which was based on the diurnal temperature cycle (DTC) model and Bayesian optimization algorithm, was also proposed for normalizing the estimated LST to the same local time. This ODC algorithm is pixel-based and it only needs one observation every day. The resulting LSTs from the six-year National Oceanic and Atmospheric Administration (NOAA)-14 satellite data were validated while using Surface Radiation Budget Network (SURFRAD) in-situ measurements. The average accuracies for LST retrieval varied from -0.4 K to 2.0 K over six stations and they also depended on the viewing zenith angle and season. The simulated data illustrate that the proposed ODC method can improve the LST estimate at a similar magnitude to the accuracy of the LST retrieval, i.e., the root-mean-square errors (RMSEs) of the corrected LSTs were 1.3 K, 2.2 K, and 3.1 K for the LST with a retrieval RMSE of 1 K, 2 K, and 3 K, respectively. This method was less sensitive to the fractional vegetation cover (FVC), including the FVC retrieval error, size, and degree of change within a neighboring area, which suggested that it could be easily updated by applying other LST expression models. In addition, ground validation also showed an encouraging correction effect. The RMSE variations of LST estimation that were introduced by ODC were within +/- 0.5 K, and the correlation coefficients between the corrected LST errors and original LST errors could approach 0.91.
资助项目	National Key Research and Development Program of China[2016YFA0600103] ; National Natural Science Foundation of China[41571353] ; National Natural Science Foundation of China[41871244] ; Innovation Project of LREIS[O88RA801YA] ; China Scholarship Council
WOS关键词	SPLIT-WINDOW ALGORITHM ; IN-SITU ; VEGETATION TEMPERATURES ; EMISSIVITY ; VALIDATION ; SOIL ; ASTER ; RADIATION ; RECORD
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000508382100124
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Innovation Project of LREIS ; China Scholarship Council
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/131370]
专题	中国科学院地理科学与资源研究所
通讯作者	Tang, Bo-Hui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources & Environm Informat Syst LREIS, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.UdS, CNRS, Icube UMR7357, 300 Bld Sebastien Brant,BP10413, F-67412 Illkirch Graffenstaden, France 4.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 5.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
推荐引用方式 GB/T 7714	Liu, Xiangyang,Tang, Bo-Hui,Yan, Guangjian,et al. Retrieval of Global Orbit Drift Corrected Land Surface Temperature from Long-term AVHRR Data[J]. REMOTE SENSING,2019,11(23):23.
APA	Liu, Xiangyang,Tang, Bo-Hui,Yan, Guangjian,Li, Zhao-Liang,&Liang, Shunlin.(2019).Retrieval of Global Orbit Drift Corrected Land Surface Temperature from Long-term AVHRR Data.REMOTE SENSING,11(23),23.
MLA	Liu, Xiangyang,et al."Retrieval of Global Orbit Drift Corrected Land Surface Temperature from Long-term AVHRR Data".REMOTE SENSING 11.23(2019):23.