首页 / 数据产品 / 按文献浏览 / Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms.

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

引用方式:

Yao, Y. J., Liang, S. L., Li, X. L., Chen, J. Q., Liu, S. M., Jia, K., Zhang, X. T., Xiao, Z. Q., Fisher, J. B., Mu, Q. Z., Pan, M., Liu, M., Cheng, J., Jiang, B., Xie, X. H., Grünwald, T., Bernhofer, C., & Roupsard, O. (2017). Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. Agricultural and Forest Meteorology, 242, 55-74.

文献信息
标题

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

PDF 此文献未收录 PDF(如何提交?)