气候变化领域集成服务门户(CCPortal): Reconstruction of the Daily MODIS Land Surface Temperature Product Using the Two-Step Improved Similar Pixels Method

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DOI	10.3390/rs13091671
	Reconstruction of the Daily MODIS Land Surface Temperature Product Using the Two-Step Improved Similar Pixels Method
	Tan, Junlei; Che, Tao; Wang, Jian; Liang, Ji; Zhang, Yang; Ren, Zhiguo
发表日期	2021
EISSN	2072-4292
卷号	13 期号:9
英文摘要	The MODIS land surface temperature (LST) product is one of the most widely used data sources to study the climate and energy-water cycle at a global scale. However, the large number of invalid values caused by cloud cover limits the wide application of the MODIS LST. In this study, a two-step improved similar pixels (TISP) method was proposed for cloudy sky LST reconstruction. The TISP method was validated using a temperature-based method over various land cover types. The ground measurements were collected at fifteen stations from 2013 to 2018 during the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) field campaign in China. The estimated theoretical clear-sky temperature indicates that clouds cool the land surface during the daytime and warm it at nighttime. For bare land, the surface temperature shows a clear seasonal trend and very similar across stations, with a cooling amplitude of 4.14 K in the daytime and a warming amplitude of 3.99 K at nighttime, as a yearly average. The validation result showed that the reconstructed LST is highly consistent with in situ measurements and comparable with MODIS LST validation accuracy, with a mean bias of 0.15 K at night (-0.43 K in the day), mean RMSE of 2.91 K at night (4.41 K in the day), and mean R-2 of 0.93 at night (0.90 in the day). The developed method maximizes the potential of obtaining quality MODIS LST retrievals, ancillary data, and in situ observations, and the results show high accuracy for most land cover types.
英文关键词	reconstruction; MODIS; land surface temperature; cloudy-sky; similar pixels
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS关键词	SPLIT-WINDOW ALGORITHM ; RIVER-BASIN ; CLOUD COVER ; RADIATION ; TERRESTRIAL ; VALIDATION ; MSG/SEVIRI ; TRENDS ; CHINA ; ASTER
WOS记录号	WOS:000650740700001
来源期刊	REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/241037
作者单位	[Tan, Junlei; Che, Tao; Wang, Jian; Zhang, Yang; Ren, Zhiguo] Chinese Acad Sci, Heihe Remote Sensing Expt Res Stn, Key Lab Remote Sensing Gansu Prov, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Tan, Junlei; Ren, Zhiguo] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; [Che, Tao] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; [Liang, Ji] Hunan Univ Sci & Technol, Natl Local Joint Engn Lab Geospatial Informat Tec, Xiangtan 411201, Peoples R China
推荐引用方式 GB/T 7714	Tan, Junlei,Che, Tao,Wang, Jian,et al. Reconstruction of the Daily MODIS Land Surface Temperature Product Using the Two-Step Improved Similar Pixels Method[J]. 中国科学院西北生态环境资源研究院,2021,13(9).
APA	Tan, Junlei,Che, Tao,Wang, Jian,Liang, Ji,Zhang, Yang,&Ren, Zhiguo.(2021).Reconstruction of the Daily MODIS Land Surface Temperature Product Using the Two-Step Improved Similar Pixels Method.REMOTE SENSING,13(9).
MLA	Tan, Junlei,et al."Reconstruction of the Daily MODIS Land Surface Temperature Product Using the Two-Step Improved Similar Pixels Method".REMOTE SENSING 13.9(2021).