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In this study, a new parameterization scheme of evaporative fraction (EF) was developed from the contextual information of remotely sensed radiative surface temperature (T s) and vegetation index (VI). In the traditionalT s  − V Itriangle methods, the Priestley-Taylor parameter∅of each pixel was interpolated for each VI interval; in our proposed new parameterization scheme (NPS), it was performed for each isopiestic line of soil surface moisture. Specifically,∅of mixed pixels was determined as the weighted-average value of bare soil∅and full-cover vegetation∅    . The maximumT sof bare soil (T  s m a x) is the sole parameter needed as the constraint of the dry edge. This has not only bypassed the task involved in the determination of the maximumT  sof fully vegetated surface (T  c m a x), but also made it possible to reduce the reliance of theT s  − V Itriangle methods on the determination of the dry edge. Ground-based measurements taken during 21 days in 2004 were used to validate the EF retrievals. Results show that the accuracy achieved by the NPS is comparable to that achieved by the traditionalT s  − V Itriangle methods. Therefore, the simplicity of the proposed new parameterization scheme does not compromise its accuracy in monitoring EF

A New Contextual Parameterization of Evaporative Fraction to Reduce the Reliance of the Ts − VI Triangle Method on the Dry Edge