IGSNRR OpenIR
Land-surface temperature retrieval from Landsat 8 single-channel thermal infrared data in combination with NCEP reanalysis data and ASTER GED product
Duan, Si-Bo1; Li, Zhao-Liang1,2; Wang, Chenguang3; Zhang, Shuting1; Tang, Bo-Hui2; Leng, Pei1; Gao, Mao-Fang1
2019
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume40Issue:5-6Pages:1763-1778
Corresponding AuthorLi, Zhao-Liang(lizhaoliang@caas.cn)
AbstractLand-surface temperature (LST) is an important parameter in the climatological, hydrological, ecological, and meteorological studies. The Thermal Infrared Sensor (TIRS) on board the Landsat 8 is a key instrument to collect thermal infrared (TIR) data. The Landsat series sensors provide continuously acquired collection of space-based TIR data. In this study, we proposed a method for retrieving LST from Landsat 8 TIRS single-channel data. The National Centers for Environmental Prediction reanalysis data in conjunction with the Moderate Resolution Transmittance Code 5 were used to correct atmospheric effects. The ASTER Global Emissivity Database product was used to correct the effects of surface emissivity. In situ LST measurements were collected by eight and four SI-111 infrared radiometers in the study areas A and B, respectively. The in situ LST was used to validate the retrieved LST. For the study area A (sands), the bias varies from approximately -1.3 to 1.7K, and the root mean square error (RMSE) from approximately 1.2 to 2.1K. For the study area B (grasslands/snow), the bias ranges from approximately -1.0 to 0.4K, and the RMSE from approximately 1.1 to 1.5K. To further compare the retrieved LST and the in situ LST at coarser pixel scale, all of the retrieved LST and the in situ LST were, respectively, averaged as the corresponding LST at 1km pixel scale (e.g. Moderate Resolution Imaging Spectroradiometer). The biases of the differences between the two averaged LST at 1km pixel scale for all TIRS scenes are approximately -0.2 and -0.5K for the study areas A and B, respectively, and the RMSE values are approximately 1.2 and 1.0K for the study area A and B, respectively. These results indicate that the proposed method can be used to retrieve LST from single-channel TIR data with a reasonable accuracy.
DOI10.1080/01431161.2018.1460513
WOS KeywordSPLIT-WINDOW ALGORITHM ; DIFFERENCE VEGETATION INDEX ; PHYSICS-BASED ALGORITHM ; ATMOSPHERIC CORRECTION ; MODIS DATA ; EMISSIVITY ; IMAGERY ; VALIDATION ; COVER ; WATER
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41501406] ; National Natural Science Foundation of China[41231170]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000464043900011
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/48229
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Zhao-Liang
Affiliation1.Chinese Acad Agr Sci, Key Lab Agr Remote Sensing, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
3.Shanxi Univ, Sch Environm & Resources, Taiyuan, Shanxi, Peoples R China
Recommended Citation
GB/T 7714
Duan, Si-Bo,Li, Zhao-Liang,Wang, Chenguang,et al. Land-surface temperature retrieval from Landsat 8 single-channel thermal infrared data in combination with NCEP reanalysis data and ASTER GED product[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1763-1778.
APA Duan, Si-Bo.,Li, Zhao-Liang.,Wang, Chenguang.,Zhang, Shuting.,Tang, Bo-Hui.,...&Gao, Mao-Fang.(2019).Land-surface temperature retrieval from Landsat 8 single-channel thermal infrared data in combination with NCEP reanalysis data and ASTER GED product.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1763-1778.
MLA Duan, Si-Bo,et al."Land-surface temperature retrieval from Landsat 8 single-channel thermal infrared data in combination with NCEP reanalysis data and ASTER GED product".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1763-1778.
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