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arXiv · 2012.05912

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

Anna Mateo-Sanchis·Jordi Munoz-Mari·Manuel Campos-Taberner·Javier Garcia-Haro·Gustau Camps-Valls
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Abstract

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 solved with standard single-output (SO) GP models, and how the proposed MO-GP models are able to successfully predict these variables even in high missing data regimes, by implicitly performing an across-domain information transfer.

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Anna Mateo-Sanchis, Jordi Munoz-Mari, Manuel Campos-Taberner, Javier Garcia-Haro, Gustau Camps-Valls. 2020-12-11. Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. https://doi.org/10.1109/igarss.2018.8519254

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