IGSNRR OpenIR
Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel
Li, Xiang1; Liu, Shaomin1; Li, Huaixiang1; Ma, Yanfei2; Wang, Jianghao3; Zhang, Yuan1; Xu, Ziwei1; Xu, Tongren1; Song, Lisheng4; Yang, Xiaofan1; Lu, Zheng1; Wang, Zeyu1; Guo, Zhixia1
2018-07-16
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
Volume123Issue:13Pages:6777-6803
Corresponding AuthorLiu, Shaomin(smliu@bnu.edu.cn)
AbstractLand surface evapotranspiration (ET) is an important component of the surface energy budget and water cycle. To solve the problem of the spatial-scale mismatch between in situ observations and remotely sensed ET, it is necessary to find the most appropriate upscaling approach for acquiring ground truth ET data at the satellite pixel scale. Based on a data set from two flux observation matrices in the middle stream and downstream of the Heihe River Basin, six upscaling methods were intercompared via direct validation and cross validation. The results showed that the area-weighted method performed better than the other five upscaling methods introducing auxiliary variables (the integrated Priestley-Taylor equation, weighted area-to-area regression kriging [WATARK], artificial neural network, random forest [RF], and deep belief network methods) over homogeneous underlying surfaces. Over moderately heterogeneous underlying surfaces, the WATARK method performed better. However, the RF method performed better over highly heterogeneous underlying surfaces. A combined method (using the area-weighted and WATARK methods for homogeneous and moderately heterogeneous underlying surfaces, respectively, and using the RF method for highly heterogeneous underlying surfaces) was proposed to acquire the daily ground truth ET data at the satellite pixel scale, and the errors in the ground truth ET data were evaluated. The Dual Temperature Difference (DTD) and ETMonitor were validated using ground truth ET data, which solve the problem of the spatial-scale mismatch and quantify uncertainties in the validation process.
Keywordremotely sensed evapotranspiration validation ground truth upscaling pixel scale
DOI10.1029/2018JD028422
WOS KeywordLARGE-APERTURE SCINTILLOMETER ; REMOTE-SENSING DATA ; ENVIRONMENTAL RESPONSE FUNCTIONS ; LAND-SURFACE EVAPORATION ; ENERGY-BALANCE CLOSURE ; HEIHE RIVER-BASIN ; EDDY-COVARIANCE ; HEAT-FLUX ; SENSITIVITY-ANALYSIS ; NORTHWEST CHINA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41531174] ; National Basic Research Program of China[2015CB953702]
Funding OrganizationNational Natural Science Foundation of China ; National Basic Research Program of China
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000439799300007
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54458
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Shaomin
Affiliation1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
2.Handan Coll, Dept Geog, Handan, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
4.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing, Peoples R China
Recommended Citation
GB/T 7714
Li, Xiang,Liu, Shaomin,Li, Huaixiang,et al. Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(13):6777-6803.
APA Li, Xiang.,Liu, Shaomin.,Li, Huaixiang.,Ma, Yanfei.,Wang, Jianghao.,...&Guo, Zhixia.(2018).Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(13),6777-6803.
MLA Li, Xiang,et al."Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.13(2018):6777-6803.
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