DOI: 10.5194/hess-20-1523-2016
Scopus记录号: 2-s2.0-84965162569
论文题名: Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one-and two-source modeling schemes
作者: Xia T ; , Kustas W ; P ; , Anderson M ; C ; , Alfieri J ; G ; , Gao F ; , McKee L ; , Prueger J ; H ; , Geli H ; M ; E ; , Neale C ; M ; U ; , Sanchez L ; , Alsina M ; M ; , Wang Z
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 4 起始页码: 1523
结束页码: 1545
语种: 英语
Scopus关键词: Evapotranspiration
; Fighter aircraft
; Image resolution
; Mapping
; Remote sensing
; Sensitivity analysis
; Surface properties
; Surface roughness
; Systematic errors
; Water supply
; Contextual information
; Degree of sensitivity
; High resolution imagery
; High spatial resolution
; Land surface temperature
; Model sensitivity analysis
; Multispectral remote sensing
; Turbulent transports
; Atmospheric temperature
; airborne survey
; aircraft
; canopy
; evapotranspiration
; growing season
; heat flux
; land surface
; mapping method
; remote sensing
; spatial resolution
; surface roughness
; surface temperature
; vineyard
; water use
英文摘要: Thermal and multispectral remote sensing data from low-Altitude aircraft can provide high spatial resolution necessary for sub-field (≤ ĝ10ĝm) and plant canopy (≤ ĝ1ĝm) scale evapotranspiration (ET) monitoring. In this study, high-resolution (sub-meter-scale) thermal infrared and multispectral shortwave data from aircraft are used to map ET over vineyards in central California with the two-source energy balance (TSEB) model and with a simple model having operational immediate capabilities called DATTUTDUT (Deriving Atmosphere Turbulent Transport Useful To Dummies Using Temperature). The latter uses contextual information within the image to scale between radiometric land surface temperature (T R) values representing hydrologic limits of potential ET and a non-evaporative surface. Imagery from 5 days throughout the growing season is used for mapping ET at the sub-field scale. The performance of the two models is evaluated using tower-based measurements of sensible (H ) and latent heat (LE) flux or ET. The comparison indicates that TSEB was able to derive reasonable ET estimates under varying conditions, likely due to the physically based treatment of the energy and the surface temperature partitioning between the soil/cover crop inter-row and vine canopy elements. On the other hand, DATTUTDUT performance was somewhat degraded presumably because the simple scaling scheme does not consider differences in the two sources (vine and inter-row) of heat and temperature contributions or the effect of surface roughness on the efficiency of heat exchange. Maps of the evaporative fraction (EFĝ Combining double low line ĝLE/(H ĝ+ĝLE)) from the two models had similar spatial patterns but different magnitudes in some areas within the fields on certain days. Large EF discrepancies between the models were found on 2 of the 5 days (DOY 162 and 219) when there were significant differences with the tower-based ET measurements, particularly using the DATTUTDUT model. These differences in EF between the models translate to significant variations in daily water use estimates for these 2 days for the vineyards. Model sensitivity analysis demonstrated the high degree of sensitivity of the TSEB model to the accuracy of the T R data, while the DATTUTDUT model was insensitive to systematic errors in T R as is the case with contextual-based models. However, it is shown that the study domain and spatial resolution will significantly influence the ET estimation from the DATTUTDUT model. Future work is planned for developing a hybrid approach that leverages the strengths of both modeling schemes and is simple enough to be used operationally with high-resolution imagery. © Author(s) 2016. CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78867
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Hydraulic Engineering, Tsinghua University, Beijing, China; USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States; USDA-ARS, National Laboratory for Agriculture and the Environment, Ames, IA, United States; Department of Civil and Environmental Engineering, Utah State University, Logan, UT, United States; Robert B. Daugherty Water for Food Institute, University of Nebraska-Lincoln, Lincoln, NE, United States; E.ĝandĝJ. Gallo Winery, Viticulture, Chemistry and Enology, Modesto, CA, United States; State Key Laboratory of Hydro-Science and Engineering, Tsinghua University, Beijing, China
Recommended Citation:
Xia T,, Kustas W,P,et al. Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one-and two-source modeling schemes[J]. Hydrology and Earth System Sciences,2016-01-01,20(4)