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	Daytime Land Surface Temperature Extraction from MODIS Thermal Infrared Data under Cirrus Clouds
	Fan X. W.; Tang, B. H.; Wu, H.; Yan, G. J.; Li, Z. L.
	2015
关键词	cirrus clouds error correction generalized split-window algorithm land surface temperature retrieval MODIS split-window algorithm radiation measurements satellite data part ii validation channels retrievals models radius
英文摘要	Simulated data showed that cirrus clouds could lead to a maximum land surface temperature (LST) retrieval error of 11.0 K when using the generalized split-window (GSW) algorithm with a cirrus optical depth (COD) at 0.55 m of 0.4 and in nadir view. A correction term in the COD linear function was added to the GSW algorithm to extend the GSW algorithm to cirrus cloudy conditions. The COD was acquired by a look up table of the isolated cirrus bidirectional reflectance at 0.55 m. Additionally, the slope k of the linear function was expressed as a multiple linear model of the top of the atmospheric brightness temperatures of MODIS channels 31-34 and as the difference between split-window channel emissivities. The simulated data showed that the LST error could be reduced from 11.0 to 2.2 K. The sensitivity analysis indicated that the total errors from all the uncertainties of input parameters, extension algorithm accuracy, and GSW algorithm accuracy were less than 2.5 K in nadir view. Finally, the Great Lakes surface water temperatures measured by buoys showed that the retrieval accuracy of the GSW algorithm was improved by at least 1.5 K using the proposed extension algorithm for cirrus skies.
出处	Sensors
卷	15
期	5
页	9942-9961
收录类别	SCI
语种	英语
ISSN号	1424-8220
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/38599]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Fan X. W.,Tang, B. H.,Wu, H.,et al. Daytime Land Surface Temperature Extraction from MODIS Thermal Infrared Data under Cirrus Clouds. 2015.

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