Easier access to scientific data
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ERDDAP
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| Dataset Title: | Estimated sea surface temperature at 1 km spatial resolution - Mondrian forest (20220719T095813Z) 
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| Institution: | UNIGE-DITEN (Dataset ID: unige-diten_sea_surface_temperature_final_output_MondrianForest_20220719T095813) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Files
| Make a graph
|
Attributes {
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 39.65, 44.43;
String axis "Y";
String ioos_category "Location";
String long_name "Latitude";
String source_name "y";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range 2.01, 10.49;
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String source_name "x";
String standard_name "longitude";
String units "degrees_east";
}
estimated_sst {
Float64 _FillValue NaN;
String long_name "Estimated Sst";
String name "estimated_sst";
}
NC_GLOBAL {
String acquisition_frequence "Periodic acquisition following Sentinel-3 (daily to sub-daily) observation cycles, subject to cloud coverage.";
String acquisition_methodology "Input data acquired through satellite remote sensing using Copernicus Sentinel-3 observations.";
String acquisition_mode "Delayed-mode acquisition using archived Sentinel-3 satellite data.";
String cdm_data_type "Grid";
String contributors_email "michela.castellano@unige.it; francesco.massa@unige.it; tiziana.ciuffardi@enea.it";
String contributors_name "Castellano, Michela; Massa, Francesco; Ciuffardi, Tiziana";
String contributors_orcid "0000-0001-6101-0112; 0000-0001-9632-4939; 0000-0003-2512-7991";
String contributors_role "data provision of in-situ measurements of sea surface temperature, support about the use of in situ data and results interpretation; provision of in-situ measurements of sea surface temperature, support about the use of in situ data and results interpretation; provision of in-situ measurements of sea surface temperature, support about the use of in situ data and results interpretation";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "Sebastiano.Serpico@unige.it; Gabriele.Moser@unige.it; abdul.basit@edu.unige.it";
String creator_name "Serpico, Bruno Sebastiano; Moser, Gabriele; Basit, Abdul";
String creator_orcid "0000-0001-9858-7230; 0000-0002-3796-2938; 0000-0002-0092-6853";
String creator_type "person; person; person";
String creator_url "https://www.iprslab.it/";
String data_format_original "netCDF";
String data_version "1";
String documentation "https://s4raise.it/dssmare/distributed_monitoring/, https://s4raise.it/dssmare/satellite_monitoring/, https://raise-spoke3.s4raise.it/project01";
Float64 Easternmost_Easting 10.49;
Float64 geospatial_lat_max 44.43;
Float64 geospatial_lat_min 39.65;
Float64 geospatial_lat_resolution 0.020000000000000004;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 10.49;
Float64 geospatial_lon_min 2.01;
Float64 geospatial_lon_resolution 0.02;
String geospatial_lon_units "degrees_east";
String grid_mapping_crs_wkt "GEOGCS[\"WGS 84\"]";
String grid_mapping_geographic_crs_name "WGS 84";
String grid_mapping_GeoTransform "3.02 0.02 0.0 44.42 0.0 -0.02";
String grid_mapping_horizontal_datum_name "World Geodetic System 1984";
String grid_mapping_inverse_flattening "298.257223563";
String grid_mapping_longitude_of_prime_meridian "0.0";
String grid_mapping_name "latitude_longitude";
String grid_mapping_prime_meridian_name "Greenwich";
String grid_mapping_reference_ellipsoid_name "WGS 84";
String grid_mapping_semi_major_axis "6378137.0";
String grid_mapping_semi_minor_axis "6356752.314245179";
String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\"]";
String history
"2026-04-03T05:50:57Z (local files)
2026-04-03T05:50:57Z https://erddap.s4raise.it/erddap/griddap/unige-diten_sea_surface_temperature_final_output_MondrianForest_20220719T095813.das";
String infoUrl "https://www.raiseliguria.it/spoke-3/";
String inspire "Oceanographic geographical features";
String institution "UNIGE-DITEN";
String institution_country "IT";
String keywords "Copernicus Programme, Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58), Earth Science Services > Models > Machine Learning Models (fe4392b0-13a9-43ff-bacc-f44a65aed4fa), Earth Science Services > Models > Machine Learning Models > Ensemble Models > Random Forest (A68048F4-181C-4C6C-9Bfa-9E4171E9F237), Instruments > Earth Remote Sensing Instruments (6015ef7b-f3bd-49e1-9193-cc23db566b69), Ligurian Sea, Machine Learning, Marine Environment, Mondrian Forest, Random Forest, Remote Sensing, Satellite Oceanography, Sea Surface Temperature, Sentinel-3, Space-based Platforms > Earth Observation Satellites (3466eed1-2fbb-49bf-ab0b-dc08731d502b), Thermal Infrared";
String keywords_vocabulary "GCMD Science Keywords";
String language "XML";
String license "CC-BY 4.0";
String maintainer "ETT S.p.A.";
String naming_authority "RAISE";
Float64 Northernmost_Northing 44.43;
String owner "UNIGE-DITEN";
String owner_url "https://diten.unige.it/";
String project_code "RAISE";
String project_id "ECS00000035";
String project_name "Robotics and AI for Socio-economic Empowerment";
String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5)";
String project_url "https://www.raiseliguria.it/";
String publisher "ETT S.p.A.";
String sensors "Sea and Land Surface Temperature Radiometer (SLSTR) onboard Sentinel-3";
String source "Model-generated data produced using supervised Random Forest (RF) and Mondrian Forest (MF) machine learning models (version 1.0)";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 39.65;
String standard_name_vocabulary "CF Standard Name Table v70";
String summary "The dataset consists of estimated sea surface temperature (SST) obtained as the output of a machine learning model. Thermal infrared data from the Sentinel-3 mission of the Copernicus programme of the European Union, together with in situ sea-truth temperature measurements provided by colleagues at UNIGE-DISTAV and ENEA, are used to train the model within a supervised machine learning framework";
String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
String title "Estimated sea surface temperature at 1 km spatial resolution - Mondrian forest (20220719T095813Z)";
String visibility "public";
Float64 Westernmost_Easting 2.01;
}
}
Data Access Protocol (DAP) and its
projection constraints.
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst),
followed by [(start):stride:(stop)]
(or a shorter variation of that) for each of the variable's dimensions
(for example, [time][latitude][longitude]).
For details, see the griddap Documentation.