Citation:

Yao, Y., Liang S., Li X., Chen J., & Liu S., et al. (2017). Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. Agricultural and Forest Meteorology, 242, 55-74. DOI: 10.1016/j.agrformet.2017.04.011.

Literature information
Title Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms
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