IGSNRR OpenIR
Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models From MODIS Data
Jiang, Yazhen1,2,3; Tang, Ronglin1,2; Jiang, Xiaoguang2,4; Li, Zhao-Liang1,3,5; Gao, Caixia4
2019-07-27
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
Volume124Issue:14Pages:7647-7664
Corresponding AuthorJiang, Yazhen(jiangyazhen15@mails.ucas.edu.cn) ; Tang, Ronglin(trl_wd@163.com) ; Jiang, Xiaoguang(xgjiang@ucas.ac.cn)
AbstractSoil evaporation (ETs) and vegetation transpiration (ETv) are essential in evaporative demand analyses and agricultural applications. This study estimated ETs and ETv using two trapezoidal models, that is, the conventional trapezoidal model and the end-member-based soil and vegetation energy partitioning (ESVEP) model, at three AmeriFlux tower sites. First, the land surface temperature of a Moderate Resolution Imaging Spectroradiometer (MODIS) pixel was decomposed into soil and vegetation temperatures (T-s and T-v, respectively) which involve important information related to ETs and ETv and were compared with corresponding temperatures from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). Then ETs and ETv were parameterized, and the total evapotranspiration (ET) was validated with the eddy covariance system measurements after energy imbalance corrections via the residual energy and Bowen ratio methods. The results showed that the ESVEP model partitioned T-s, with a root-mean-square error (RMSE) of 1.56-2.70 K (4.98-10.16%), and T-v, with an RMSE of 2.54-2.80 K (9.73-11.11%), indicating a higher accuracy than that from the conventional trapezoidal model, where the RMSE was 2.26-3.64 K (7.31-13.40%) for T-s separation and 2.82-4.62 K (9.80-15.49%) for T-v separation. For the ET estimation, the ESVEP model still performed better. The estimation RMSE was 49.8-58.4 W/m(2) (22.8-27.2%) for the ESVEP model and 72.0-89.5 W/m(2) (29.8-41.1%) for the conventional trapezoidal model, compared to the RE corrected measurements; the RMSE was 42.6-53.3 W/m(2) (24.4-28.1%) for the ESVEP model and 57.5-78.1 W/m(2) (32.3-37.9%) for the conventional trapezoidal model, compared to the Bowen ratio corrected measurements.
Keywordevapotranspiration soil evaporation vegetation transpiration MODIS trapezoidal models
DOI10.1029/2019JD030542
WOS KeywordLAND-SURFACE TEMPERATURE ; ENERGY-BALANCE ; EVAPOTRANSPIRATION ; WATER ; ALGORITHM ; MOISTURE ; FLUXES ; CARBON
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571351] ; National Natural Science Foundation of China[41571352] ; National Natural Science Foundation of China[41571367] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040403] ; Youth Innovation Promotion Association CAS[2015039] ; China Scholarship Council
Funding OrganizationNational Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS ; China Scholarship Council
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000481444200012
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68855
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJiang, Yazhen; Tang, Ronglin; Jiang, Xiaoguang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Envonment Informat Syst, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.CNRS, UdS, Icube UMR7357, Illkirch Graffenstaden, France
4.Chinese Acad Sci, Acad Optoelect, Key Lab Quantitat Remote Sensing Informat Technol, Beijing, Peoples R China
5.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Jiang, Yazhen,Tang, Ronglin,Jiang, Xiaoguang,et al. Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models From MODIS Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(14):7647-7664.
APA Jiang, Yazhen,Tang, Ronglin,Jiang, Xiaoguang,Li, Zhao-Liang,&Gao, Caixia.(2019).Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models From MODIS Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(14),7647-7664.
MLA Jiang, Yazhen,et al."Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models From MODIS Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.14(2019):7647-7664.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jiang, Yazhen]'s Articles
[Tang, Ronglin]'s Articles
[Jiang, Xiaoguang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jiang, Yazhen]'s Articles
[Tang, Ronglin]'s Articles
[Jiang, Xiaoguang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jiang, Yazhen]'s Articles
[Tang, Ronglin]'s Articles
[Jiang, Xiaoguang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.