干旱区生态环境知识资源中心(Arid): Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China

Arid

DOI	10.1109/TGRS.2020.2998945
	Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China
	Li, Hua; Li, Ruibo; Yang, Yikun; Cao, Biao; Bian, Zunjian; Hu, Tian; Du, Yongming; Sun, Lin; Liu, Qinhuo
通讯作者	Du, YM (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2021
卷号	59 期号:2 页码:1794-1807
英文摘要	In this study, two collection 6 (C6) Moderate Resolution Imaging Spectroradiometer (MODIS) level-2 land surface temperature (LST) products (MYD11L2 and MYD21L2) from the Aqua satellite were evaluated using temperature-based (T-based) and radiance-based (R-based) validation methods over barren surfaces in Northwestern China. The ground measurements collected at four barren surface sites from June 2012 to September 2018 during the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) experiment were used to perform the T-based evaluation. Ten sand dune sites were selected in six large deserts in Northwestern China to carry out an R-based validation from 2012 to 2018. The T-based validation results indicate that the C6 MYD21 LST product has a better accuracy than the C6 MYD11 product during both daytime and nighttime. The LST is underestimated by the C6 MYD11 products at the four T-based sites during the daytime, with a mean bias of 2.82 K and a mean RMSE of 3.82 K, whereas the MYD21 LST product has a mean bias and RMSE of 0.51 and 2.53 K, respectively. The LST is also underestimated at night by the C6 MYD11 products at the four T-based sites, with a mean bias of 1.40 K and a mean RMSE of 1.72 K, whereas the MYD21 LST product has a mean bias and RMSE of 0.23 and 1.01 K, respectively. For the R-based validation, the MYD11 results are associated with large negative biases during both daytime and nighttime at three sand dune sites and biases within 1 K at the other seven sites, whereas the MYD21 results are more consistent at all ten sand dune sites, with a mean bias of 0.45 and 0.70 K for daytime and nighttime, respectively. The emissivities for these two products in MODIS bands 31 and 32 were compared with each other and then compared with the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) emissivity and laboratory emissivity. The results indicate that the emissivities in MODIS bands 31 and 32 of MYD11 at the four T-based and three of the R-based validation sites are overestimated and result in LST underestimation, whereas the emissivities of MYD21 are more consistent with the laboratory emissivity. Besides, an experiment was carried out to demonstrate that the physically retrieved dynamic emissivity of the MYD21 product can be utilized to improve the accuracy of the split-window (SW) algorithm for barren surfaces, making it a valuable data source for retrieving LST from different remote sensing data.
英文关键词	Land surface temperature MODIS Atmospheric modeling Land surface Remote sensing Soil Land surface emissivity (LSE) land surface temperature (LST) Moderate Resolution Imaging Spectroradiometer (MODIS) split-window (SW) algorithm validation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000611222400064
WOS关键词	EMISSIVITY SEPARATION ALGORITHM ; PHYSICS-BASED ALGORITHM ; SPLIT-WINDOW ALGORITHM ; GROUND MEASUREMENTS ; ACCURACY ASSESSMENT ; ARID AREA ; RETRIEVAL ; VIIRS ; ASTER ; GEOSTATIONARY
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/2XILL650/347945
作者单位	[Li, Hua; Cao, Biao; Bian, Zunjian; 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, Geomat Coll, 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, Hua,Li, Ruibo,Yang, Yikun,et al. Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China[J]. 北京师范大学,2021,59(2):1794-1807.
APA	Li, Hua.,Li, Ruibo.,Yang, Yikun.,Cao, Biao.,Bian, Zunjian.,...&Liu, Qinhuo.(2021).Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(2),1794-1807.
MLA	Li, Hua,et al."Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.2(2021):1794-1807.