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

文献类型：期刊论文

作者Duan, Si-Bo3; Li, Zhao-Liang1,3; Zhao, Wei4; Wu, Penghai2; Huang, Cheng3; Han, Xiao-Jing3; Gao, Maofang3; Leng, Pei3; Shang, Guofei1
刊名INTERNATIONAL JOURNAL OF DIGITAL EARTH
出版日期2020
页码DOI: 10.1080/17538947.2020.1862319
关键词Land surface temperature land surface emissivity validation Landsat
ISSN号1753-8947
DOI10.1080/17538947.2020.1862319
产权排序3
通讯作者Li, Zhao-Liang(lizhaoliang@caas.cn)
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
WOS记录号WOS:000603838300001
出版者TAYLOR & FRANCIS LTD
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for Central Non-profit Scientific Institution
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.Hebei GEO Univ, Sch Land Sci & Space Planning, Shijiazhuang, Hebei, Peoples R China;
2.Anhui Univ, Anhui Prov Key Lab Wetland Ecosyst Protect & Rest, Hefei, Peoples R China
3.Chinese Acad Agr Sci, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Inst Agr Resources & Reg Planning, Beijing, Peoples R China;
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, 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.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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