Estimated sea surface temperature at 1 km spatial resolution (20240607T095649Z)
Estimated sea surface temperature at 1 km spatial resolution (20240607T095649Z)
The dataset consists of estimated sea surface temperature (SST) obtained as the output of a machine learning model. Thermal infrared data from the Sentinel-3 mission of the Copernicus programme of the European Union, together with in situ sea-truth temperature measurements provided by colleagues at UNIGE-DISTAV and ENEA, are used to train the model within a supervised machine learning framework Full metadata: https://erddap.s4raise.it/erddap/info/unige-diten_sea_surface_temperature_final_output_20240607T095649/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
Random Forest, Mondrian Forest, Earth Science Services > Models > Machine Learning Models (fe4392b0-13a9-43ff-bacc-f44a65aed4fa), Copernicus Programme, Instruments > Earth Remote Sensing Instruments (6015ef7b-f3bd-49e1-9193-cc23db566b69), Satellite Oceanography, Space-based Platforms > Earth Observation Satellites (3466eed1-2fbb-49bf-ab0b-dc08731d502b), Earth Science Services > Models > Machine Learning Models > Ensemble Models > Random Forest (A68048F4-181C-4C6C-9Bfa-9E4171E9F237), Ligurian Sea, Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58), Machine Learning, Remote Sensing, 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), Marine Environment, Space-based Platforms > Earth Observation Satellites (3466eed1-2fbb-49bf-ab0b-dc08731d502b), Sea Surface Temperature, Thermal Infrared, Sentinel-3, Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58), Earth Science Services > Models > Machine Learning Models (fe4392b0-13a9-43ff-bacc-f44a65aed4fa)
Random Forest, Mondrian Forest, Earth Science Services > Models > Machine Learning Models (fe4392b0-13a9-43ff-bacc-f44a65aed4fa), Copernicus Programme, Instruments > Earth Remote Sensing Instruments (6015ef7b-f3bd-49e1-9193-cc23db566b69), Satellite Oceanography, Space-based Platforms > Earth Observation Satellites (3466eed1-2fbb-49bf-ab0b-dc08731d502b), Earth Science Services > Models > Machine Learning Models > Ensemble Models > Random Forest (A68048F4-181C-4C6C-9Bfa-9E4171E9F237), Ligurian Sea, Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58), Machine Learning, Remote Sensing, 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), Marine Environment, Space-based Platforms > Earth Observation Satellites (3466eed1-2fbb-49bf-ab0b-dc08731d502b), Sea Surface Temperature, Thermal Infrared, Sentinel-3, Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58), Earth Science Services > Models > Machine Learning Models (fe4392b0-13a9-43ff-bacc-f44a65aed4fa)
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