Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes

In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under a gap filling setup. In particular, we focus on LAI and fAPAR over rice areas. We show how this problem cannot be solve...

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Veröffentlicht in:	arXiv.org 2020-12
Hauptverfasser:	Mateo-Sanchis, Anna, Munoz-Mari, Jordi, Campos-Taberner, Manuel, Garcia-Haro, Javier, Camps-Valls, Gustau
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Gaussian process Information transfer Mathematical models Missing data Parameter estimation Physics - Data Analysis, Statistics and Probability Quantitative Biology - Quantitative Methods Statistics - Machine Learning
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