| griddap
| Subset
| tabledap
| Make A Graph
| wms
| files
| Title
| Summary
| FGDC
| ISO 19115
| Info
| Background Info
| RSS
| Email
| Institution
| Dataset ID
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20180323
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|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20180323.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20180323/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20180323)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20180323_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20180323_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20180323/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20180323.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20180323&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20180323
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20180323
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20180323.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20180323/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20180323)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20180323_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20180323_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20180323/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20180323.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20180323&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20180323
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20180427
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20180427.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20180427/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20180427)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20180427_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20180427_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20180427/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20180427.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20180427&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20180427
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20180427
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20180427.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20180427/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20180427)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20180427_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20180427_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20180427/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20180427.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20180427&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20180427
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20181128
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20181128.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20181128/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20181128)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20181128_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20181128_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20181128/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20181128.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20181128&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20181128
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20181128
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20181128.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20181128/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20181128)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20181128_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20181128_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20181128/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20181128.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20181128&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20181128
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20190221
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20190221.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20190221/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20190221)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20190221_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20190221_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20190221/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20190221.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20190221&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20190221
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20190221
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20190221.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20190221/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20190221)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20190221_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20190221_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20190221/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20190221.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20190221&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20190221
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20190417
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20190417.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20190417/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20190417)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20190417_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20190417_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20190417/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20190417.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20190417&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20190417
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20190417
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20190417.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20190417/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20190417)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20190417_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20190417_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20190417/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20190417.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20190417&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20190417
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20190726
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20190726.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20190726/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20190726)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20190726_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20190726_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20190726/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20190726.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20190726&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20190726
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20190726
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20190726.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20190726/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20190726)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20190726_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20190726_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20190726/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20190726.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20190726&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20190726
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20200206
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20200206.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20200206/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20200206)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20200206_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20200206_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20200206/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20200206.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20200206&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20200206
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20200206
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20200206.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20200206/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20200206)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20200206_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20200206_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20200206/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20200206.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20200206&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20200206
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20200710
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20200710.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20200710/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20200710)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20200710_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20200710_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20200710/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20200710.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20200710&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20200710
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20200710
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20200710.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20200710/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20200710)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20200710_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20200710_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20200710/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20200710.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20200710&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20200710
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220307
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220307.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20220307/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220307)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20220307_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20220307_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20220307/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20220307.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20220307&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20220307
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220307
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220307.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20220307/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220307)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20220307_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20220307_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20220307/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20220307.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20220307&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20220307
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220411
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220411.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20220411/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220411)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20220411_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20220411_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20220411/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20220411.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20220411&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20220411
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220411
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220411.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20220411/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220411)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20220411_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20220411_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20220411/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20220411.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20220411&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20220411
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220511
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220511.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20220511/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220511)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20220511_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20220511_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20220511/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20220511.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20220511&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20220511
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220511
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220511.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20220511/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220511)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20220511_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20220511_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20220511/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20220511.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20220511&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20220511
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220824
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20220824.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20220824/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220824)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20220824_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20220824_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20220824/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20220824.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20220824&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20220824
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220824
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20220824.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20220824/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20220824)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20220824_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20220824_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20220824/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20220824.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20220824&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20220824
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20221028
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20221028.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20221028/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20221028)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20221028_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20221028_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20221028/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20221028.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20221028&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20221028
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20221028
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20221028.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20221028/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20221028)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20221028_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20221028_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20221028/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20221028.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20221028&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20221028
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20230506
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20230506.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20230506/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20230506)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20230506_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20230506_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20230506/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20230506.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20230506&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20230506
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20230506
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20230506.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20230506/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20230506)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20230506_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20230506_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20230506/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20230506.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20230506&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20230506
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20230526
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20230526.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20230526/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20230526)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20230526_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20230526_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20230526/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20230526.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20230526&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20230526
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20230526
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20230526.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20230526/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20230526)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20230526_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20230526_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20230526/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20230526.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20230526&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20230526
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20231207
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20231207.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20231207/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20231207)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20231207_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20231207_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20231207/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20231207.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20231207&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20231207
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20231207
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20231207.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20231207/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20231207)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20231207_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20231207_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20231207/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20231207.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20231207&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20231207
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240510
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240510.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20240510/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240510)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20240510_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20240510_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20240510/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20240510.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20240510&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20240510
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240510
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240510.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20240510/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240510)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20240510_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20240510_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20240510/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20240510.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20240510&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20240510
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240604
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240604.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20240604/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240604)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20240604_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20240604_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20240604/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20240604.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20240604&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20240604
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240604
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240604.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20240604/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240604)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20240604_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20240604_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20240604/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20240604.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20240604&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20240604
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240719
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240719.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20240719/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240719)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20240719_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20240719_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20240719/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20240719.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20240719&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20240719
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240719
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240719.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20240719/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240719)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20240719_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20240719_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20240719/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20240719.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20240719&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20240719
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240729
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_laspezia_20240729.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_laspezia_20240729/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240729)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_laspezia_20240729_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_laspezia_20240729_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20240729/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_laspezia_20240729.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_laspezia_20240729&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_laspezia_20240729
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240729
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_portofino_20240729.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_portofino_20240729/
| Estimated chlorophyall-a concentration at 60 m spatial resolution (20240729)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_portofino_20240729_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_portofino_20240729_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_portofino_20240729/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_portofino_20240729.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_portofino_20240729&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_portofino_20240729
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20180323)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180323
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20180323)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180323
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20180427)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20180427
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20180427)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20180427
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20181128)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20181128
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20181128)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20181128
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20190221)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190221
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20190221)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190221
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20190417)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190417
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20190417)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190417
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20190726)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20190726
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20190726)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20190726
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20200206)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200206
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20200206)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200206
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20200710)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20200710
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20200710)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20200710
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220307)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220307
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220307)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220307
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220411)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220411
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220411)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220411
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220511)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220511
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220511)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220511
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220824)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20220824
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20220824)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20220824
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20221028)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20221028
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20221028)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20221028
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20230506)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230506
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20230506)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230506
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20230526)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20230526
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20230526)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20230526
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20231207)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20231207
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20231207)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20231207
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20240510)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240510
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20240510)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240510
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20240604)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240604
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20240604)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240604
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20240719)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240719
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20240719)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_portofino_20240719
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729
|
|
| https://erddap.s4raise.it/erddap/griddap/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729.graph
|
| https://erddap.s4raise.it/erddap/files/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729/
| Estimated chlorophyll-a concentration at 60 m spatial resolution - Mondrian forest (20240729)
| 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [latitude][longitude]):\nestimated_chl\n
| https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729_fgdc.xml
| https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729_iso19115.xml
| https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729/index.htmlTable
| https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729.rss
| https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729&showErrors=false&email=
| UNIGE-DITEN
| unige-diten_chlorophyll_final_output_MondrianForest_laspezia_20240729
|
