Estimated sea surface temperature at 1 km spatial resolution - Mondrian forest (20221005T093545Z)

Fuente: Zenodo

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Détails bibliographiques
Auteurs principaux:	Serpico, Bruno Sebastiano, Moser, Gabriele, Basit, Abdul, Castellano, Michela, Massa, Francesco, Ciuffardi, Tiziana
Format:	Recurso digital
Langue:	anglais
Publié:	Zenodo 2026
Sujets:	Copernicus Programme Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58) Earth Science Services > Models > Machine Learning Models (fe4392b0-13a9-43ff-bacc-f44a65aed4fa) Earth Science Services > Models > Machine Learning Models > Ensemble Models > Random Forest (A68048F4-181C-4C6C-9Bfa-9E4171E9F237) Instruments > Earth Remote Sensing Instruments (6015ef7b-f3bd-49e1-9193-cc23db566b69) Ligurian Sea Machine Learning Marine Environment Mondrian Forest Random Forest Remote Sensing Satellite Oceanography Sea Surface Temperature Sentinel-3 Space-based Platforms > Earth Observation Satellites (3466eed1-2fbb-49bf-ab0b-dc08731d502b) Thermal Infrared
Accès en ligne:	Acceder al recurso
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