Make A Graph

Dataset Title:	Fractional snow-covered area in the Ny-Alesund area in 2020
Institution:	CNR (Dataset ID: salzano_fractional)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

Y (m)

X (m)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Y Axis Minimum:	Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

[The graph you specified. Please be patient.]

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.57788e+9, 1.609416e+9;
    String attribute_description "Time of the measurement";
    String axis "T";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Time";
    String short_name "time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Y {
    Float64 actual_range 8761225.0, 8765905.0;
    String attribute_description "\"y\" indicates a vector component along the grid y-axis, when this is not true latitude, positive with increasing y. Projection coordinates are distances in the x- and y-directions on a plane onto which the surface of the Earth has been projected according to a map projection. The relationship between the projection coordinates and latitude and longitude is described by the grid_mapping.";
    String coverage_content_type "coordinate";
    String long_name "Y coordinate";
    String short_name "Y";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  X {
    Float64 actual_range 430685.0, 437395.0;
    String attribute_description "\"x\" indicates a vector component along the grid x-axis, when this is not true longitude, positive with increasing x. Projection coordinates are distances in the x- and y-directions on a plane onto which the surface of the Earth has been projected according to a map projection. The relationship between the projection coordinates and latitude and longitude is described by the grid_mapping.";
    String coverage_content_type "coordinate";
    String long_name "X coordinate";
    String short_name "X";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  fsca {
    Int32 _ChunkSizes 1, 469, 672;
    String attribute_description "\"Area fraction\" is the fraction of a grid cell's horizontal area that has some characteristic of interest. It is evaluated as the area of interest divided by the grid cell area. It may be expressed as a fraction, a percentage, or any other dimensionless representation of a fraction. Snow \"viewable from above\" refers to the snow on objects or the ground as viewed from above, which excludes, for example, falling snow flakes and snow obscured by a canopy, vegetative cover, or other features resting on the surface.";
    String coordinates "time Y X";
    String coverage_content_type "physicalMeasurement";
    String grid_mapping "UTM_projection";
    String long_name "Fractional snow covered area";
    String short_name "fsca";
    String standard_name "snow_area_fraction_viewable_from_above";
    String units "1";
    Float64 valid_max 100.0;
    Float64 valid_min 0.0;
  }
  NC_GLOBAL {
    String _NCProperties "version=1|netcdflibversion=4.4.1.1|hdf5libversion=1.8.16";
    String acknowledgment "The dataset is provided in the framework of the SIOS core data curation call [Research Council of Norway, project number 291644, Svalbard Integrated Arctic Earth Observing System - Knowledge Centre, operational phase] and with the support of the Norwegian Polar Institute";
    String cdm_data_type "Grid";
    String character_encoding "utf8";
    String comment "JC Gallet supported the CNR team in accessing imagery from the Zeppelin Observatory";
    String contributor_institution "CNR";
    String contributor_name "Rosamaria Salvatori";
    String contributor_role "dataProcessing";
    String Conventions "CF-1.7,ACDD-1.3";
    String creator_email "info@niveos.cnr.it";
    String creator_individual "Roberto Salzano";
    String creator_institution "CNR";
    String creator_name "CNR";
    String creator_type "institution";
    String creator_url "www.niveos.cnr.it";
    String dataFormatType "netCDF";
    String date_created "2021-11-16T15:40:19Z";
    String date_issued "2021-11-16T15:40:19Z";
    String date_metadata_modified "2021-11-16T15:40:19Z";
    String date_modified "2021-11-16T15:40:19Z";
    String geospatial_bounds "POLYGON (78.92,11.93,79,12)";
    String geospatial_bounds_crs "http://www.opengis.net/def/crs/EPSG/0/4326";
    String geospatial_bounds_vertical_crs "http://www.opengis.net/def/crs/EPSG/8.5/4979";
    Float64 grid_mapping_false_easting 500000.0;
    Float64 grid_mapping_false_northing 0.0;
    Float64 grid_mapping_inverse_flattening 298.257223563;
    Float64 grid_mapping_latitude_of_projection_origin 0.0;
    String grid_mapping_long_name "UTM 33 projection WGS84";
    Float64 grid_mapping_longitude_of_central_meridian 15.0;
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "transverse_mercator";
    Float64 grid_mapping_scale_factor_at_central_meridian 0.9996;
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String grid_mapping_short_name "UTM_projection";
    String history 
"orthorettification, image classification
2024-11-01T00:21:36Z (local files)
2024-11-01T00:21:36Z https://data.iadc.cnr.it/griddap/salzano_fractional.das";
    String id "10.5281/zenodo.5705594";
    String infoUrl "https://metadata.iadc.cnr.it/geonetwork/srv/api/records/236a77a6-58e4-438e-8636-01d466db7037";
    String institution "CNR";
    String instrument "ensambling of different time-lapse cameras";
    String keywords "GEMET:snow, INSPIRE:land cover";
    String keywords_vocabulary "GEMET:GEneral Multilingual Environmental Thesaurus, INSPIRE:GEMET - INSPIRE themes; version 1.0";
    String keywords_vocabulary_publication_date "GEMET:2021-01-21, INSPIRE:2008-06-01";
    String language "eng";
    String language_name "English";
    String license "CC BY-NC: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.";
    String limitations_on_public_access "no limitations to public access";
    String metadata_creator_email "info@niveos.cnr.it";
    String metadata_creator_individual "Roberto Salzano";
    String metadata_creator_institution "Italian National Research Council";
    String metadata_scope "dataset";
    String naming_authority "International DOI Foundation";
    String platform "station";
    String processing_level "data are orthorectified";
    String project "SnowCorD - SIOS Core Data";
    String project_URL "https://iadc.cnr.it";
    String publisher_email "info@niveos.cnr.it";
    String publisher_institution "Italian National Research Council";
    String publisher_name "Italian National Research Council";
    String publisher_type "institution";
    String publisher_url "www.niveos.cnr.it";
    String source "data are obtanied ensambling images obtained at the CCTower and at the Zeppelin Observatory";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v78";
    String summary "The gridded datasets is a ensembled product obtained processing imagery acquired by different time-lapse cameras located at the Zeppelin Observatory, at the Gruvebadet Snow Research Site and at the Amundsen-Nobile Climate Change Tower.";
    String time_coverage_duration "P1Y";
    String time_coverage_end "2020-12-31T12:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2020-01-01T12:00:00Z";
    String title "Fractional snow-covered area in the Ny-Alesund area in 2020";
    String topic_category "imageryBaseMapsEarthCover";
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection constraints (external link)

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.