About
Contact & Profiles
A5063552825
Research Areas
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
State Key Laboratory of Remote Sensing Science
2017
Beijing Normal University
2017
Terrestrial latent heat flux (LE) is a key component of the global terrestrial water, energy, and carbon exchanges. Accurate estimation LE from moderate resolution imaging spectroradiometer (MODIS) data remains major challenge. In this study, we estimated daily for different plant functional types (PFTs) across North America using three machine learning algorithms: artificial neural network (ANN); support vector machines (SVM); and, multivariate adaptive regression spline (MARS) driven by...
10.3390/rs9121326
article
EN
cc-by
Remote Sensing
2017-12-16
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