Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites

doi:10.1080/17538947.2020.1862319

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites
	Duan, Si-Bo 2; Li, Zhao-Liang 2,4; Zhao, Wei 1; Wu, Penghai 3; Huang, Cheng 2; Han, Xiao-Jing 2; Gao, Maofang 2; Leng, Pei 2; Shang, Guofei 4
刊名	INTERNATIONAL JOURNAL OF DIGITAL EARTH
	2020
页码	DOI: 10.1080/17538947.2020.1862319
关键词	Land surface temperature land surface emissivity validation Landsat
ISSN号	1753-8947
DOI	10.1080/17538947.2020.1862319
通讯作者	Li, Zhao-Liang(lizhaoliang@caas.cn)
产权排序	3
文献子类	Article;Early Access
英文摘要	Since 1982, Landsat series of satellite sensors continuously acquired thermal infrared images of the Earth's land surface. In this study, Landsat 5, 7, and 8 land surface temperature (LST) products in the conterminous United States from 2009 to 2019 were validated using in situ measurements collected at 6 SURFRAD (Surface Radiation Budget Network) sites, 6 ARM (Atmospheric Radiation Measurement) sites, and 9 NDBC (National Data Buoy Center) sites. The results indicate that a relatively consistent performance among Landsat 5, 7, and 8 LST products is obtained for most sites due to the consistent LST retrieval algorithm in conjunction with the same atmospheric compensation and land surface emissivity (LSE) correction methods for Landsat 5, 7, and 8 sensors. Large bias and root mean square error (RMSE) of Landsat LST product are obtained at some vegetated sites due to incorrect LSE estimation where LSE is invariant with the increasing of normalized difference vegetation index (NDVI). Except for the sites with incorrect LSE estimation, a mean bias (RMSE) of the differences between Landsat LST and in situ LST is 1.0 K (2.1 K) over snow-free land surfaces, -1.1 K (1.6 K) over snow surfaces, and -0.3 K (1.1 K) over water surfaces.
电子版国际标准刊号	1753-8955
资助项目	National Natural Science Foundation of China[41871275] ; National Natural Science Foundation of China[41921001] ; Fundamental Research Funds for Central Non-profit Scientific Institution[1610132020044]
WOS研究方向	Physical Geography ; Remote Sensing
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000603838300001
资助机构	National Natural Science Foundation of China ; Fundamental Research Funds for Central Non-profit Scientific Institution
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/55128]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Li, Zhao-Liang
作者单位	1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China; 2.Chinese Acad Agr Sci, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Inst Agr Resources & Reg Planning, Beijing, Peoples R China; 3.Anhui Univ, Anhui Prov Key Lab Wetland Ecosyst Protect & Rest, Hefei, Peoples R China 4.Hebei GEO Univ, Sch Land Sci & Space Planning, Shijiazhuang, Hebei, Peoples R China;
推荐引用方式 GB/T 7714	Duan, Si-Bo,Li, Zhao-Liang,Zhao, Wei,et al. Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2020:DOI: 10.1080/17538947.2020.1862319.
APA	Duan, Si-Bo.,Li, Zhao-Liang.,Zhao, Wei.,Wu, Penghai.,Huang, Cheng.,...&Shang, Guofei.(2020).Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites.INTERNATIONAL JOURNAL OF DIGITAL EARTH,DOI: 10.1080/17538947.2020.1862319.
MLA	Duan, Si-Bo,et al."Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites".INTERNATIONAL JOURNAL OF DIGITAL EARTH (2020):DOI: 10.1080/17538947.2020.1862319.