ISWC OpenIR  > 水保所科研产出--SCI  > 2018--SCI
Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area
Jinjiao Lian2,3; Danfeng Li4; Mingbin Huang1; Hongsong Chen2,3; Huang, MB (reprint author), Northwest Agr & Forest Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.
SubtypeArticle
2018
Source PublicationHYDROLOGICAL PROCESSES
ISSN0885-6087
description.correspondentemailhmingbin@yahoo.com
Volume32Issue:12Pages:1801-1813
AbstractDaily actual evapotranspiration (AET) and seasonal AET values are of great practical importance in the management of regional water resources and hydrological modelling. Remotely sensed AET models and Landsat satellite images have been used widely in producing AET estimates at the field scale. However, the lack of validation at a high spatial frequency under different soil water conditions and vegetation coverages limits their operational applications. To assess the accuracies of remote sensing-based AET in an oasis-desert region, a total of 59 local-scale daily AET time series, simulated using HYDRUS-1D calibrated with soil moisture profiles, were used as ground truth values. Of 59 sampling sites, 31 sites were located in the oasis subarea and 28 sites were located in the desert subarea. Additionally, the locally validated mapping evapotranspiration at high resolution with internalized calibration surface energy balance model was employed to estimate instantaneous AET values in the area containing all 59 of the sampling sites using seven Landsat subimages acquired from June 5 to August 24 in 2011. Daily AET was obtained using extrapolation and interpolation methods with the instantaneous AET maps. Compared against HYDRUS-1D, the remote sensing-based method produced reasonably similar daily AET values for the oasis sites, while no correlation was observed for daily AET estimated using these two methods for the desert sites. Nevertheless, a reasonable monthly AET could be estimated. The correlation analysis between HYDRUS-1D-simulated and remote sensing-estimated monthly AET values showed relative root-mean-square error values of 15.1%, 12.1%, and 12.3% for June, July, and August, respectively. The root mean square error of the summer AET was 10.0%. Overall, remotely sensed models can provide reasonable monthly and seasonal AET estimates based on periodic snapshots from Landsat images in this arid oasis-desert region.
KeywordDaily Actual Evapotranspiration Desert Area Hydrus-1d Model Evaluation Thermal Remote Sensing
Subject AreaWater Resources
DOI10.1002/hyp.11621
Indexed BySCI
Publication Place111 RIVER ST, HOBOKEN 07030-5774, NJ USA
Language英语
WOS IDWOS:000435783100006
PublisherWILEY
Funding OrganizationNational Natural Science Foundation of China [41571213, 41501234] ; National Natural Science Foundation of China [41571213, 41501234]
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/8229
Collection水保所科研产出--SCI_2018--SCI
Corresponding AuthorHuang, MB (reprint author), Northwest Agr & Forest Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.
Affiliation1.Northwest Agr & Forest Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China
3.Chinese Acad Sci, Huanjiang Observat & Res Stn Karst Ecosyst, Inst Subtrop Agr, Huanjiang 547100, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Jinjiao Lian,Danfeng Li,Mingbin Huang,et al. Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area[J]. HYDROLOGICAL PROCESSES,2018,32(12):1801-1813.
APA Jinjiao Lian,Danfeng Li,Mingbin Huang,Hongsong Chen,&Huang, MB .(2018).Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area.HYDROLOGICAL PROCESSES,32(12),1801-1813.
MLA Jinjiao Lian,et al."Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area".HYDROLOGICAL PROCESSES 32.12(2018):1801-1813.
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