Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing

Title

Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing

Authors

Keywords

Evapotranspiration, Latent heat exchange, Machine learning, Remote sensing, GLASS, MODIS, Regression tree, Neural network, Random kernel, Bootstrap aggregation tree, Flux tower, Surface radiation, Vegetation index, Leaf area index, FPAR, Albedo, Nadir adjusted reflectance, Regularized linear regression, Computational efficiency, Surface energy balance

Journal

International Journal of Applied Earth Observation and Geoinformation

Volume 78, Issue -, Pages 86-92

Publisher

Elsevier BV

Online

2019-02-10

DOI

10.1016/j.jag.2019.01.020