Dr. Caterina Peris-Ferrús Profile

Dr. Caterina Peris-Ferrús

at Univ de València

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Author

Publications (4)

Proceedings Article | 12 September 2021 Poster + Presentation + Paper

Retrieving aerosol properties using signals from an All-Sky camera and a random forest model

F. Scarlatti, J. L. Gómez Amo, P. Catalán-Valdelomar, C. Peris-Ferrús, M. P. Utrillas

Proceedings Volume 11859, 118590Z (2021) https://doi.org/10.1117/12.2599854

KEYWORDS: Atmospheric modeling, Machine learning, Data modeling, Cameras, RGB color model, Aerosols, Performance modeling, Clouds, Artificial neural networks, Scattering

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Proceedings Article | 12 September 2021 Poster + Presentation + Paper

Retrieval of cloud optical depth through radiative transfer and remote sensing: from 1D to 3D approach.

Caterina Peris-Ferrús, José-Luis Gómez-Amo, Pedro Catalán-Valdelomar, Francesco Scarlatti, Claudia Emde, Maria Pilar Utrillas

Proceedings Volume 11859, 118590X (2021) https://doi.org/10.1117/12.2599591

KEYWORDS: Clouds, Monte Carlo methods, 3D modeling, Radiative transfer, Matrices, Photons, Cameras, Sun, Remote sensing, Atmospheric modeling

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Proceedings Article | 12 September 2021 Poster + Presentation + Paper

Retrieval of cloud optical depth: synergies between whole sky imagers and radiative transfer modeling.

Caterina Peris-Ferrús, José Luís Gómez-Amo, Pedro Valdelomar, Francesco Scarlatti, Roberto Román, Claudia Emde, Maria Pilar Utrillas

Proceedings Volume 11859, 118590W (2021) https://doi.org/10.1117/12.2599586

KEYWORDS: Clouds, Cameras, Radiative transfer, Calibration, Solar radiation, Matrices, High dynamic range imaging, 3D modeling, Sun, Databases

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Proceedings Article | 12 September 2021 Poster + Presentation + Paper

Comparison of two different techniques to determine the cloud cover from all-sky imagery

Pedro C. Valdelomar, José L. Gómez-Amo, Francesco Scarlatti, Caterina Peris-Ferrús, Maria P. Utrillas

Proceedings Volume 11859, 118590V (2021) https://doi.org/10.1117/12.2599517

KEYWORDS: Clouds, Algorithm development, Cameras, High dynamic range imaging, Aerosols, Sun, Image segmentation, Databases, Machine learning, Machine vision

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