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Samuel Cirés

Universidad Autónoma de Madrid

SCHOLARLY PAPERS

3

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151

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Discriminating Bloom-Forming Cyanobacteria Using Hyperspectral Imagery and Machine Learning: Validation with Toxic Species Under Environmental Ranges

Number of pages: 33 Posted: 26 Sep 2023
Claudia Fournier, Antonio Quesada, Samuel Cirés and Mohammadmehdi Saberioon
Universidad Autónoma de Madrid, Universidad Autónoma de Madrid, Universidad Autónoma de Madrid and GFZ German Research Centre for Geosciences - Helmholtz Centre Potsdam
Downloads 71 (875,328)
Citation 1

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algal blooms, remote sensing, Near-infrared, ensemble classifiers, Early warning, risk assessment

2.

Coupling Hyperspectral Imaging and Deep Learning to Detect Bloom-Forming Toxic Cyanobacteria in Mixed Assemblages

Number of pages: 35 Posted: 06 Mar 2025
Claudia Fournier, Samuel Cirés, Mohammadmehdi Saberioon, Martín-González Paula and Antonio Quesada
Universidad Autónoma de Madrid, Universidad Autónoma de Madrid, GFZ German Research Centre for Geosciences - Helmholtz Centre Potsdam, Universidad Autónoma de Madrid and Universidad Autónoma de Madrid
Downloads 42 (1,157,785)

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Cyanobacterial blooms, Monitoring, Remote sensing, VIS-NIR, Early warning, Risk assessment

3.

Highly Heterogeneous Toxic Cyanobacterial Blooms Featuring Unexpected Communities in a Mediterranean Protected Area

Number of pages: 49 Posted: 30 Nov 2024
Albano Diez-Chiappe, Samuel Cirés, María Ángeles Muñoz-Martín, Ana Justel, Antonio Quesada and Elvira Perona
affiliation not provided to SSRN, Universidad Autónoma de Madrid, affiliation not provided to SSRN, Universidad Autónoma de Madrid, Universidad Autónoma de Madrid and affiliation not provided to SSRN
Downloads 38 (1,209,354)

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Microcystins, anatoxins, saxitoxins, Planktothrix spiroides, National Park, Ecological risk