Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing-Reference-Cited by-同舟云学术

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

Published:2019-06 Issue: Volume:78 Page:86-92
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Carter Corinne,Liang Shunlin

Funder

United States National Aeronautics and Space Administration

National Oceanic and Atmospheric Administration

U.S. Department of Energy’s Office of Science

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference38 articles.

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5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction;Hastie,2009

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