An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth’s surface and their interactions with vegetation and atmosphere. When it comes to studying vegetation properties, RTMs allows us to study light interception by plant canopies and are used in...

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Bibliographic Details
Main Authors: Juan Pablo Rivera, Jochem Verrelst, Jose Gómez-Dans, Jordi Muñoz-Marí, José Moreno, Gustau Camps-Valls
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Remote Sensing
Subjects:
emulator
machine learning
radiative transfer models
multi-output
ARTMO
GUI toolbox
FLEX
fluorescence
Online Access:http://www.mdpi.com/2072-4292/7/7/9347

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