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Academic Journal

CLOINet: ocean state reconstructions through remote-sensing, in-situ sparse observations and deep learning

Subjects: deep-learning; ocean; remote-sensing

  • Source: ISSN: 2296-7745 ; Frontiers in Marine Science ; https://hal.science/hal-04536436 ; Frontiers in Marine Science, 2024, 11, pp.1151868. ⟨10.3389/fmars.2024.1151868⟩.

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Conference

Deep Learning for Lagrangian Drift Simulation on Sea Surface

Subjects: Lagrangian drift; Drifters; Deep LearningLondon; United Kingdom

  • Source: Climate Informatics ; https://hal.science/hal-04569396 ; Climate Informatics, Alan Turing Institute, Apr 2024, London, United Kingdom

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Academic Journal

Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks

Subjects: Aperture Radar; Deep Learning; Oceanography

  • Source: ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://imt-atlantique.hal.science/hal-04502265 ; IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, pp.1-14.

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Conference

Deep learning for Lagrangian drift simulation at the sea surface

Subjects: Lagrangian; Deep Learning; OceanRhodes; Greece

  • Source: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023) ; https://hal.science/hal-03852489 ; IEEE International Conference on Acoustics, Speech, and Signal Processing

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Conference

Observation-only learning of 4DVarNet neural schemes for the reconstruction of sea surface turbidity dynamics from gappy satellite images

Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; AtmosphereVienna; Austria

  • Source: EGU 2023 - European Geophysical Union ; https://hal.science/hal-04363493 ; EGU 2023 - European Geophysical Union, European Geophysical Union, Apr 2023, Vienna, Austria. pp.1-1,

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Conference

L'Observatoire réunionnais de l'environnement nocturne. Discussion autour d’une démarche collective et transdisciplinaire

Subjects: Observatoire environnement nocturne; observatoire; interdisciplinaritéCorte; France

  • Source: Séminaire de la Fédération de Recherche "Environnement et Société" ; https://cnrs.hal.science/hal-04098055 ; Séminaire de la Fédération de Recherche "Environnement et Société", Fédération

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