Evaluation of collection-6 MODIS land surface temperature product using multi-year ground measurements in an arid area of northwest China

doi:10.3390/rs10111852

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Evaluation of collection-6 MODIS land surface temperature product using multi-year ground measurements in an arid area of northwest China
	Lu, Lei 1; Zhang, Tingjun 1; Wang, Tiejun 2; Zhou, Xiaoming 3
刊名	Remote Sensing
	2018-11-01
卷号	10 期号:11
关键词	Arid regions Atmospheric temperature Electromagnetic wave emission Errors Landforms Mean square error Radiometers Surface measurement Surface properties Global circulation model Ground measurements Land cover classification Misclassifications Moderate resolution imaging spectroradiometer MODIS Root mean square errors Vegetation monitoring
ISSN号	2072-4292
DOI	10.3390/rs10111852
英文摘要	Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) products are widely used in ecology, hydrology, vegetation monitoring, and global circulation models. Compared to the collection-5 (C5) LST products, the newly released collection-6 (C6) LST products have been refined over bare soil pixels. This study aims to evaluate the C6 MODIS 1-km LST product using multi-year in situ data covering barren surfaces. Evaluation using all in situ data shows that the MODIS C6 LSTs are underestimated with a root-mean-square error (RMSE) of 2.59 K for the site in the Gobi area, 3.05 K for the site in the sand desert area, and 2.86 K for the site in the desert steppe area at daytime. For nighttime LSTs, the RMSEs are 2.01 K, 2.88 K, and 1.80 K for the three sites, respectively. Both biases and RMSEs also show strong seasonal signals. Compared to the error of C5 1-km LSTs, the RMSE of C6 1-km LST product is smaller, especially for daytime LSTs, with a value of 2.24 K compared to 3.51 K. The large errors in the sand desert region are presumably due to the lack of global representativeness of the magnitude of emissivity adjustment and misclassification for the barren surface causing error in emissivities. It indicates that the accuracy of the MODIS C6 LST product might be further improved through emissivity adjustment with globally representative magnitude and accurate land cover classification. From this study, the MODIS C6 1-km LST product is recommended for applications. © 2018 by the authors.
资助项目	National Key Scientific Research Project[2013CBA01802]
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI AG, Postfach, Basel, CH-4005, Switzerland
WOS记录号	WOS:000451733800183
状态	已发表
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114832]
专题	土木工程学院
通讯作者	Lu, Lei
作者单位	1.Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China 2.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands 3.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Lu, Lei,Zhang, Tingjun,Wang, Tiejun,et al. Evaluation of collection-6 MODIS land surface temperature product using multi-year ground measurements in an arid area of northwest China[J]. Remote Sensing,2018,10(11).
APA	Lu, Lei,Zhang, Tingjun,Wang, Tiejun,&Zhou, Xiaoming.(2018).Evaluation of collection-6 MODIS land surface temperature product using multi-year ground measurements in an arid area of northwest China.Remote Sensing,10(11).
MLA	Lu, Lei,et al."Evaluation of collection-6 MODIS land surface temperature product using multi-year ground measurements in an arid area of northwest China".Remote Sensing 10.11(2018).