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A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale
Song, Yi1; Ma, Mingguo2; Jin, Long3; Wang, Xufeng4
Source PublicationREMOTE SENSING
AbstractThis study presents a revised temporal scaling method based on a detection algorithm for the temporal stability of the evaporative fraction (EF) to estimate total daytime evapotranspiration (ET) at a regional scale. The study area is located in the Heihe River Basin, which is the second largest inland river basin in China. The remote sensing data and field observations used in this study were obtained from the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) project. The half-hourly EF values (EFEC) calculated using meteorological observations from an eddy covariance (EC) system and an automatic meteorological station (AMS) represented the diurnal pattern of the EF across the majority of the study area. The remotely sensed instantaneous midday EF (EFASTER), which indicates the spatial distribution of the midday EF over the entire study area, was calculated from an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image. The temporal stability of EFEC was examined using a detection algorithm. Intervals with inconsistent EFEC values were distinguished from those with consistent EFEC values; the total daytime ET (from 9:00 to 19:00) within these interval types was integrated separately. Validation of the total daytime ET at the satellite pixel scale was conducted using measurements from17 EC towers. Using the detection algorithm for the temporal stability of the EF and dynamic adjustment, the revised temporal scaling method resulted in a root-mean-square error (RMSE) of 0.54 (mm center dot d(-1)), a mean relative error (MRE) of 7.26% and a correlation coefficient (Corr.) of 0.81; all of these values were superior to those of the two other methods (i.e., the constant EF and variable EF methods). The revised method easily extends to other areas and exhibits a superior performance in flat and regularly-irrigated farmlands at the regional scale.
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000357596900030
PublisherMDPI AG
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Document Type期刊论文
Corresponding AuthorSong, Yi
Affiliation1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Peoples R China
2.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China
3.CCCC First Highway Consultants Co LTD, Minist Transport, Key Lab Highway Construct & Maintenance Technol P, Xian 710065, Peoples R China
4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
Recommended Citation
GB/T 7714
Song, Yi,Ma, Mingguo,Jin, Long,et al. A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale[J]. REMOTE SENSING,2015,7(5):6433-6453.
APA Song, Yi,Ma, Mingguo,Jin, Long,&Wang, Xufeng.(2015).A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale.REMOTE SENSING,7(5),6433-6453.
MLA Song, Yi,et al."A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale".REMOTE SENSING 7.5(2015):6433-6453.
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