Published March 9, 2026
| Version v1
Dataset
Open
Estimated chlorophyall-a concentration at 60 m spatial resolution (20200206)
Description
The dataset consists of estimated chlorophyll-a (CHL-a) concentration maps obtained as the output of a machine learning model. Multispectral data from twelve bands of the Sentinel-2 mission of the Copernicus Programme of the European Union, together with in situ CHL-a 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_chlorophyll_final_output_laspezia_20200206/index.html
This 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).
Full metadata: https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20200206/index.html
This 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).
Files
unige-diten_chlorophyll_final_output_laspezia_20200206.zip
Files
(1.5 MB)
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