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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Published in:	IEEE transactions on geoscience and remote sensing Vol. 55; no. 10; pp. 5818 - 5832
Main Authors:	Tang, Ronglin, Li, Zhao-Liang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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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Abstract	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.
AbstractList	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.
Author	Zhao-Liang Li Ronglin Tang
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Snippet	Evapotranspiration (ET) is one of the key variables in the water and energy exchange between land surface and atmosphere. This paper develops an...
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SubjectTerms	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
Title	An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data
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