39 citations · 59 across the 4 of their papers we have counts for
4 papers
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion
Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas +2
Parameter retrieval and model inversion are key problems in remote sensing and Earth observation. Currently, different approximations exist: a direct, yet costly, inversion of radi…
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…
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…
The Land Surface Temperature Synergistic Processor in BEAM: A Prototype towards Sentinel-3
Ana Belen Ruescas, Olaf Danne, Norman Fomferra +1
Land Surface Temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all surface-atmosphere…