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Evapotranspiration estimation using Landsat-8 data with a two-layer framework
Yin, Jian1,2,3; Wang, Hailong4; Zhan, Chesheng2; Lu, Yang3,5
2017-03-01
Source PublicationJOURNAL OF APPLIED REMOTE SENSING
ISSN1931-3195
Volume11Pages:17
Corresponding AuthorYin, Jian(yinjinbnu@163.com)
AbstractEvapotranspiration (ET) plays an important role in hydrological cycle by linking land surface and atmosphere through water and energy transfers. Based on the data from the Landsat-8 satellite for typical days with clear sky condition from 2013 to 2016, a two-layer daily ET remote sensing framework was built, which includes four compartments: surface feature parameter estimation, evaporative fraction estimation, daily net radiation estimation, and daily ET extension. Based on the model, evaporation, transpiration, and daily ET in Shahe River Basin were estimated. The estimated daily ET showed a mean absolute percentage error of 8.7% in the plain areas, and 12.1% in the mountainous areas, compared to observations using large aperture scintillometer and eddy covariance system. The method gave higher accuracy than other remote sensing models applied in the same area previously, including the surface energy balance system and the ETWatch. By analyzing the relationship between land use types and surface water/heat fluxes, it was found that the surface energy balance components in the basin have prominent spatial-temporal features, and the soil component's features are more obvious. It indicated that the proposed two-layer approach is superior to others in terms of simulation accuracy, and applicable to daily scale ET estimations on complex terrains. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Keywordevapotranspiration remote sensing river basin two-layer model Landsat-8
DOI10.1117/1.JRS.11.016034
WOS KeywordENERGY-BALANCE ; AIR-TEMPERATURE ; HAI BASIN ; MODEL ; CHINA ; VALIDATION ; FLUX ; RETRIEVAL ; ALGORITHM
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41401042] ; National Natural Science Foundation of China[41571019] ; National Natural Science Foundation of China[41371043] ; National Key Basic Research Program of China (973 Program)[2015CB452701]
Funding OrganizationNational Natural Science Foundation of China ; National Key Basic Research Program of China (973 Program)
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000397757800001
PublisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64758
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYin, Jian
Affiliation1.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
3.Anqing Normal Univ, Sch Resources & Environm, Anqing, Peoples R China
4.Univ Aberdeen, Sch Geosci, Northern Rivers Inst, Aberdeen, Scotland
5.Ningbo Univ, Anqing Normal Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China
Recommended Citation
GB/T 7714
Yin, Jian,Wang, Hailong,Zhan, Chesheng,et al. Evapotranspiration estimation using Landsat-8 data with a two-layer framework[J]. JOURNAL OF APPLIED REMOTE SENSING,2017,11:17.
APA Yin, Jian,Wang, Hailong,Zhan, Chesheng,&Lu, Yang.(2017).Evapotranspiration estimation using Landsat-8 data with a two-layer framework.JOURNAL OF APPLIED REMOTE SENSING,11,17.
MLA Yin, Jian,et al."Evapotranspiration estimation using Landsat-8 data with a two-layer framework".JOURNAL OF APPLIED REMOTE SENSING 11(2017):17.
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