An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data

Evapotranspiration (ET) is one of the key variables in the water and energy exchange between land surface and atmosphere. This paper develops an end-member-based two-source approach for estimating land surface ET (i.e., the ESVEP model) from remote sensing data, considering the differing responses o...

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Vydané v:IEEE transactions on geoscience and remote sensing Ročník 55; číslo 10; s. 5818 - 5832
Hlavní autori: Tang, Ronglin, Li, Zhao-Liang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.10.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Apertures
Atmospheric modeling
Atmospheric models
Data
Detection
Dynamics
End-member
Energy balance
Enthalpy
Estimation
Evaporation
Evapotranspiration
evapotranspiration (ET)
Heat exchange
Heat flux
Heat transfer
Land surface
Land surface temperature
large aperture scintillometer (LAS)
Latent heat
Meteorology
MODIS
Moisture content
Net radiation
Plant cover
Radiation balance
Remote sensing
Root zone
Scintillation counters
Sensible heat
Sensible heat transfer
Short wave radiation
Soil
Soil dynamics
Soil layers
Soil water
Surface energy
Surface layers
Surface properties
Surface temperature
Transpiration
two-source model
Vegetation
Vegetation index
Vegetation mapping
Water content
ISSN:0196-2892, 1558-0644
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Shrnutí:Evapotranspiration (ET) is one of the key variables in the water and energy exchange between land surface and atmosphere. This paper develops an end-member-based two-source approach for estimating land surface ET (i.e., the ESVEP model) from remote sensing data, considering the differing responses of soil water content at the upper surface layer to soil evaporation and at the deeper root zone layer to vegetation transpiration. The ESVEP model first diverges the soil-vegetation system net radiation into soil and vegetation components by considering the transmission of direct and diffuse shortwave radiation separately from the transmission of longwave radiation through the canopy, then calculates the four dry/wet soil/vegetation end-members with the diverged soil and vegetation net radiations, and last separates soil evaporation from vegetation transpiration based on the two-phase ET dynamics and the four end-member temperatures. The model can overall produce reasonably good surface energy fluxes and is no more sensitive to meteorology, vegetation, and remote sensing inputs than other two-source energy balance models and surface temperature versus vegetation index (T_{R} -VI) trapezoid models. A reasonable agreement could be found with a small bias of ±8 W/\text{m}^{2} and a root-mean-square error within 60 W/\text{m}^{2} (comparable to accuracies published in other studies) when both model-estimated sensible heat flux and latent heat flux from MODIS remote sensing data are validated with ground-based large aperture scintillometer measurements.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2017.2715361