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A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data
Leng, Pei1; Li, Zhao-Liang1,2; Duan, Si-Bo1; Tang, Ronglin2; Gao, Mao-Fang1
2017-12-27
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
Volume122Issue:24Pages:13263-13277
Corresponding AuthorLi, Zhao-Liang(lizhaoliang@caas.cn)
AbstractEvapotranspiration (ET) is an important component of the water and energy cycle. The present study develops a practical approach for generating all-sky ET with the synergistic use of satellite images and meteorological data. In this approach, the ET over clear-sky pixels is estimated from a two-stage land surface temperature (LST)/fractional vegetation cover feature space method where the dry/wet edges are determined from theoretical calculations. For cloudy pixels, the Penman-Monteith equation is used to calculate the ET where no valid remotely sensed LST is available. An evaluation of the method with ET collected at ground-based large aperture scintillometer measurements at the Yucheng Comprehensive Experimental Station (YCES) in China is performed over a growth period from April to October 2010. The results show that the root-mean-square error (RMSE) and bias over clear-sky pixels are 57.3W/m(2) and 18.2W/m(2), respectively, whereas an RMSE of 69.3W/m(2) with a bias of 12.3W/m(2) can be found over cloudy pixels. Moreover, a reasonable overall RMSE of 65.3W/m(2) with a bias of 14.4W/m(2) at the YCES can be obtained under all-sky conditions, indicating a promising prospect for the derivation of all-sky ET using currently available satellite and meteorological data at a regional or global scale in future developments.
Keywordall-sky evapotranspiration LST FVC feature space Penman-Monteith equation YCES
DOI10.1002/2017JD027880
WOS KeywordSURFACE-ENERGY-BALANCE ; SOIL THERMAL PARAMETERS ; SHORTWAVE RADIATION ; SATELLITE IMAGERY ; FLUX ESTIMATION ; HEAT-FLUX ; TEMPERATURE ; ALGORITHM ; MOISTURE ; MODIS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601397] ; National Natural Science Foundation of China[41571367] ; China Postdoctoral Science Foundation[2015 M581210]
Funding OrganizationNational Natural Science Foundation of China ; China Postdoctoral Science Foundation
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000419950200019
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56843
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, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,et al. A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(24):13263-13277.
APA Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,Tang, Ronglin,&Gao, Mao-Fang.(2017).A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(24),13263-13277.
MLA Leng, Pei,et al."A Method for Deriving All-Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.24(2017):13263-13277.
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