干旱区生态环境知识资源中心(Arid): Evaluation of Atmospheric Correction Methods for the ASTER Temperature and Emissivity Separation Algorithm Using Ground Observation Networks in the HiWATER Experiment

Arid

DOI	10.1109/TGRS.2018.2879316
	Evaluation of Atmospheric Correction Methods for the ASTER Temperature and Emissivity Separation Algorithm Using Ground Observation Networks in the HiWATER Experiment
	Li, Hua 1,2; Wang, Heshun 3; Yang, Yikun 4; Du, Yongming 1,2; Cao, Biao 1,2; Bian, Zunjian 1,2; Liu, Qinhuo 1,2
通讯作者	Du, Yongming
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2019
卷号	57 期号:5 页码:3001-3014
英文摘要	Land surface temperature and emissivity (LST&E) are key variables for a wide variety of surface-atmosphere studies, and it is very important to validate the accuracy of different LST&E retrieval algorithms. In this paper, the accuracy of the Advanced Spaceborne Thermal Emission and Reflection (ASTER) temperature emissivity separation (TES) algorithm with the water vapor scaling (WVS) method and the ASTER standard LSE&E products (without WVS) was validated using 12 ASTER scenes from May 2012 to September 2012 with concurrent ground LST and emissivity measurements collected in an arid area in northwest China during the Heihe Watershed Allied Telemetry Experimental Research experiment. Both the National Center for Environmental Prediction (NCEP) and MOD07 atmospheric profile products were employed to perform the atmospheric correction. The results showed that the WVSTES LSTs retrieved from the two profiles both demonstrate good accuracies, with average biases of 0.34 and 0.24 K and average root-mean-square errors (RMSEs) of 1.52 and 1.46 K for the NCEP and MOD07 profiles, respectively. When the WVS was not applied, we obtained an average bias of 1.26 K and an average RMSE of 2.05 K for the AST08 product. The emissivities from the WVSTES algorithm with the two profiles both showed good agreements with the ground CE312 measurements, with mean differences of the five ASTER bands that were less than 0.01. AST05 showed anomalous emissivity spectra and underestimated the emissivity values of graybody surfaces when compared with the ground data, with mean differences of greater than 0.015, which were more obvious for cases with high water vapor. This paper demonstrated that the WVS method is critical for retrieving ASTER TES LST with accuracies within 1.5 K and emissivity within 0.015 for a wide range of atmospheric conditions and land surface types.
英文关键词	Advanced Spaceborne Thermal Emission and Reflection (ASTER) emissivity land surface temperature validation water vapor scaling (WVS)
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000466183500042
WOS关键词	LAND-SURFACE TEMPERATURE ; SPLIT-WINDOW ALGORITHM ; COVER CHANGE ; ARID AREA ; MODIS ; VALIDATION ; RETRIEVAL ; PRODUCTS ; GEOSTATIONARY ; MOISTURE
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
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/2XILL650/216251
作者单位	1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; 2.Joint Ctr Global Change Studies, Beijing 100875, Peoples R China; 3.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA; 4.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Li, Hua,Wang, Heshun,Yang, Yikun,et al. Evaluation of Atmospheric Correction Methods for the ASTER Temperature and Emissivity Separation Algorithm Using Ground Observation Networks in the HiWATER Experiment[J]. 北京师范大学,2019,57(5):3001-3014.
APA	Li, Hua.,Wang, Heshun.,Yang, Yikun.,Du, Yongming.,Cao, Biao.,...&Liu, Qinhuo.(2019).Evaluation of Atmospheric Correction Methods for the ASTER Temperature and Emissivity Separation Algorithm Using Ground Observation Networks in the HiWATER Experiment.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(5),3001-3014.
MLA	Li, Hua,et al."Evaluation of Atmospheric Correction Methods for the ASTER Temperature and Emissivity Separation Algorithm Using Ground Observation Networks in the HiWATER Experiment".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.5(2019):3001-3014.