Review on Estimation of Land Surface Radiation and Energy Budgets From Ground Measurement, Remote Sensing and Model Simulations

By Shunlin Liang, Kaicun Wang, Xiaotong Zhang, Martin Wild. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010

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Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations (2014, methodology): “4521 PUBLICATIONS Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE 10.1002/2013JD020864 Key Points: • BMA-based latent heat flux estimation • Global terrestrial LE estimation • Integrating five process-based algorithms Correspondence to: Y. Yao and X. Li, boyyunjun@163.com; xlli@bnu.edu”
Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. (2017, background): “Evapotranspiration (ET), the sum of evaporation from the Earth’s surface and transpiration from plants into the atmosphere, is an important variable linking the global terrestrial water, carbon and energy exchanges (Allen et al., 1998; Liang et al., 2010; Wang and Dickinson, 2012).”