510 citations · 3.4k across the 76 of their papers we have counts for
4 papers · 1 filter
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods
Ana B. Ruescas, Martin Hieronymi, Sampsa Koponen +2
The coloured dissolved organic matter (CDOM) concentration is the standard measure of humic substance in natural waters. CDOM measurements by remote sensing is calculated using the…
Learning Structures in Earth Observation Data with Gaussian Processes
Fernando Mateo, Jordi Munoz-Mari, Valero Laparra +2
Gaussian Processes (GPs) has experienced tremendous success in geoscience in general and for bio-geophysical parameter retrieval in the last years. GPs constitute a solid Bayesian…
Retrieval of Case 2 Water Quality Parameters with Machine Learning
Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls +1
Water quality parameters are derived applying several machine learning regression methods on the Case2eXtreme dataset (C2X). The used data are based on Hydrolight in-water radiativ…
Deep Gaussian Processes for geophysical parameter retrieval
Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina +1
This paper introduces deep Gaussian processes (DGPs) for geophysical parameter retrieval. Unlike the standard full GP model, the DGP accounts for complicated (modular, hierarchical…