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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
2015-05-01
发表期刊REMOTE SENSING
ISSN2072-4292
卷号7期号:5页码:6433-6453
文章类型Article
摘要This 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标题词Science & Technology ; Technology
DOI10.3390/rs70506433
关键词[WOS]LAND-SURFACE TEMPERATURE ; REMOTELY-SENSED DATA ; OF-DAY MEASUREMENTS ; SOIL HEAT-FLUX ; EVAPORATIVE FRACTION ; ENERGY-BALANCE ; DAILY EVAPOTRANSPIRATION ; DIURNAL BEHAVIOR ; SONIC ANEMOMETER ; NET-RADIATION
收录类别SCI
语种英语
WOS研究方向Remote Sensing
WOS类目Remote Sensing
WOS记录号WOS:000357596900030
出版者MDPI AG
引用统计
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/9282
专题生态环境研究室
通讯作者Song, Yi
作者单位1.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
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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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