干旱区生态环境知识资源中心(Arid): An Operational Split-Window Algorithm for Retrieving Land Surface Temperature from Geostationary Satellite Data: A Case Study on Himawari-8 AHI Data

Arid

DOI	10.3390/rs12162613
	An Operational Split-Window Algorithm for Retrieving Land Surface Temperature from Geostationary Satellite Data: A Case Study on Himawari-8 AHI Data
	Li, Ruibo; Li, Hua; Sun, Lin; Yang, Yikun; Hu, Tian; Bian, Zunjian; Cao, Biao; Du, Yongming; Liu, Qinhuo
通讯作者	Li, H
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:16
英文摘要	An operational split-window (SW) algorithm was developed to retrieve high-temporal-resolution land surface temperature (LST) from global geostationary (GEO) satellite data. First, the MODTRAN 5.2 and SeeBor V5.0 atmospheric profiles were used to establish a simulation database to derive the SW algorithm coefficients for GEO satellites. Then, the dynamic land surface emissivities (LSEs) in the two SW bands were estimated using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED), fractional vegetation cover (FVC), and snow cover products. Here, the proposed SW algorithm was applied to Himawari-8 Advanced Himawari Imager (AHI) observations. LST estimates were retrieved in January, April, July, and October 2016, and three validation methods were used to evaluate the LST retrievals, including the temperature-based (T-based) method, radiance-based (R-based) method, and intercomparison method. The in situ night-time observations from two Heihe Watershed Allied Telemetry Experimental Research (HiWATER) sites and four Terrestrial Ecosystem Research Network (TERN) OzFlux sites were used in the T-based validation, where a mean bias of -0.70 K and a mean root-mean-square error (RMSE) of 2.29 K were achieved. In the R-based validation, the biases were 0.14 and -0.13 K and RMSEs were 0.83 and 0.86 K for the daytime and nighttime, respectively, over four forest sites, four desert sites, and two inland water sites. Additionally, the AHI LST estimates were compared with the Collection 6 MYD11_L2 and MYD21_L2 LST products over southeastern China and the Australian continent, and the results indicated that the AHI LST was more consistent with the MYD21 LST and was generally higher than the MYD11 LST. The pronounced discrepancy between the AHI and MYD11 LST could be mainly caused by the differences in the emissivities used. We conclude that the developed SW algorithm is of high accuracy and shows promise in producing LST data with global coverage using observations from a constellation of GEO satellites.
英文关键词	Himawari-8 AHI operational split-window algorithm land surface temperature emissivity validation
类型	Article
语种	英语
开放获取类型	DOAJ Gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000565441400001
WOS关键词	RADIANCE-BASED VALIDATION ; RADIATIVE-TRANSFER MODEL ; PHYSICS-BASED ALGORITHM ; GROUND MEASUREMENTS ; MSG-SEVIRI ; ARID AREA ; EMISSIVITY ; PRODUCTS ; COVER ; VIIRS
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325989
作者单位	[Li, Ruibo; Li, Hua; Bian, Zunjian; Cao, Biao; Du, Yongming; Liu, Qinhuo] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Li, Ruibo; Sun, Lin] Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China; [Yang, Yikun] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China; [Hu, Tian] Griffith Univ, Sch Environm & Sci, Environm Futures Res Inst, Nathan, Qld 4111, Australia
推荐引用方式 GB/T 7714	Li, Ruibo,Li, Hua,Sun, Lin,et al. An Operational Split-Window Algorithm for Retrieving Land Surface Temperature from Geostationary Satellite Data: A Case Study on Himawari-8 AHI Data[J]. 北京师范大学,2020,12(16).
APA	Li, Ruibo.,Li, Hua.,Sun, Lin.,Yang, Yikun.,Hu, Tian.,...&Liu, Qinhuo.(2020).An Operational Split-Window Algorithm for Retrieving Land Surface Temperature from Geostationary Satellite Data: A Case Study on Himawari-8 AHI Data.REMOTE SENSING,12(16).
MLA	Li, Ruibo,et al."An Operational Split-Window Algorithm for Retrieving Land Surface Temperature from Geostationary Satellite Data: A Case Study on Himawari-8 AHI Data".REMOTE SENSING 12.16(2020).