干旱区生态环境知识资源中心(Arid): Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China

Arid

DOI	10.1109/TGRS.2019.2918259
	Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China
	Li, Hua 1,2; Yang, Yikun 3; Li, Ruibo 1,4; Wang, Heshun 5; Cao, Biao 1,2; Bian, Zunjian 1,2; Hu, Tian 6; Du, Yongming 1,2; Sun, Lin 4; 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:10 页码:8081-8094
英文摘要	In this study, to improve the accuracy of land surface temperature (LST) products over barren surfaces, we present an operational algorithm to retrieve the LST from Moderate-Resolution Imaging Spectroradiometer (MODIS) thermal infrared data using physically retrieved emissivity products. The LST algorithm involved two steps. First, the emissivity in the two MODIS split-window (SW) channels was estimated using the vegetation cover method, with the bare soil component emissivity derived from the ASTER global emissivity data set. Then, the LST was retrieved using a modified generalized SW algorithm. This algorithm was implemented in the MUlti-source data SYnergized Quantitative (MuSyQ) remote sensing product system. The MuSyQ MODIS LST product and the Collection 6 MODIS LST product (MxD11_L2) were compared and validated using ground measurements collected from four barren surface sites in Northwest China during the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) experiment from June 2012 to December 2015. In total, 2268 and 2715 clear-sky samples were used in the validation for Terra and Aqua, respectively. The evaluation results indicate that the MuSyQ LST products provide better accuracy than the C6 MxD11 product during both daytime and nighttime at all four sites. For the daytime results, the LST is underestimated by the C6 MxD11 products at all four sites, with a mean bias of -1.78 and -2.86 K and a mean root-mean-square error (RMSE) of 3.16 and 3.94 K for Terra and Aqua, respectively, whereas the mean biases of the MuSyQ LST products are within 1 K, with a mean bias of -0.26 and -1.03 K and a mean RMSE of 2.45 and 2.71 K for Terra and Aqua, respectively. For the nighttime results, the LST is also underestimated by the C6 MxD11 products at all four sites, with a mean bias of -1.60 and -1.26 K and a mean RMSE of 1.93 and 1.60 K for Terra and Aqua, respectively, whereas the mean biases of the MuSyQ LST products are 0.16 and 0.58 K and the mean RMSEs are 1.12 and 1.25 K for Terra and Aqua, respectively. The results indicate that the underestimation of the C6 MxD11 LST product at all four sites mainly results from the overestimation of the emissivities in MODIS bands 31 and 32. This study demonstrates that physically retrieved emissivity products are a useful source for LST retrieval over barren surfaces and can be used to improve the accuracy of global LST products.
英文关键词	Emissivity evaluation land surface temperature (LST) Moderate-Resolution Imaging Spectroradiometer (MODIS) split-window (SW) algorithm
类型	Article
语种	英语
国家	Peoples R China ; USA ; Australia
收录类别	SCI-E
WOS记录号	WOS:000489829200059
WOS关键词	SPLIT-WINDOW ALGORITHM ; THERMAL INFRARED EMISSIVITY ; ATMOSPHERIC CORRECTION ; ACCURACY ASSESSMENT ; ARID AREA ; VALIDATION ; RETRIEVAL ; MODEL ; GEOSTATIONARY ; DATABASE
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
EI主题词	2019-10-01
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/2XILL650/310125
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.JCGCS, Beijing 100875, Peoples R China; 3.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China; 4.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Shandong, Peoples R China; 5.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA; 6.Griffith Univ, Sch Environm & Sci, Environm Futures Res Inst, Nathan, Qld 4111, Australia
推荐引用方式 GB/T 7714	Li, Hua,Yang, Yikun,Li, Ruibo,et al. Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China[J]. 北京师范大学,2019,57(10):8081-8094.
APA	Li, Hua.,Yang, Yikun.,Li, Ruibo.,Wang, Heshun.,Cao, Biao.,...&Liu, Qinhuo.(2019).Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(10),8081-8094.
MLA	Li, Hua,et al."Comparison of the MuSyQ and MODIS Collection 6 Land Surface Temperature Products Over Barren Surfaces in the Heihe River Basin, China".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.10(2019):8081-8094.