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Dataset Title:  Historic Land Cover Change, Area Vegetation, HH By latitude, longitude   RSS
Institution:  University of Illinois at Urbana-Champaign   (Dataset ID: areaveg_hh_by_latitude_longitude)
Information:  Summary ? | License ? | Metadata | Background | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      360    0.5 (even)
  < slider >
 longitude (degrees_east) ?      720    0.5 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 Mask (Land/Ocean Spatial Mask) ?
 Regionmask (The region each land grid point belongs to) ?
 Grid_area (Area of Land Grid cells, m2) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.75, 89.75;
    String axis "Y";
    String bounds "latitude_bounds";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 89.75;
    Float32 valid_min -89.75;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.25, 359.75;
    String axis "X";
    String bounds "longitude_bounds";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 359.75;
    Float32 valid_min 0.25;
  }
  Mask {
    String _Unsigned "false";
    String coordinates "latitude longitude";
    String flag_meanings "ocean land";
    Byte flag_values 0, 1;
    String long_name "Land/Ocean Spatial Mask";
    String standard_name "land binary mask";
  }
  Regionmask {
    String coordinates "latitude longitude";
    String flag_meanings "North_America Latin_America Europe North_Africa Tropical_Africa USSR China South_and_South_East_Asia Pacific_Developed Antarctica_and_Greenland";
    Int16 flag_values 1, 2, 3, 4, 5, 6, 7, 8, 9, 10;
    String long_name "The region each land grid point belongs to";
    Int16 missing_value -99;
    String standard_name "region";
  }
  Grid_area {
    String coordinates "latitude longitude";
    String long_name "Area of Land Grid cells";
    Float32 missing_value -99.0;
    String standard_name "grid_area";
    String units "m2";
    Float32 valid_max 3.088224e+9;
    Float32 valid_min 1.3475005e+7;
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String acknowledgement "This work was supported by National Aeronautics and Space Administration (NASA) Land Cover and Land Use Change Program (No. NNX08AK75G)";
    String cdm_data_type "Grid";
    String Comment "Cropland and Pastureland Data Source used in this netcdf file: Houghton (2008) - Based on deforestation rates from FAO (2005)";
    String contributor_role "Principle Investigator and originator";
    String Conventions "CF-1.4";
    String creator_email "meiyapp2@illinois.edu";
    String creator_name "Prasanth Meiyappan";
    String creator_url "http://www.atmos.illinois.edu/~meiyapp2";
    String data_set_progress "complete";
    String date_created "2013-08-30T23:00:14Z";
    String date_modified "2013-08-30T23:00:14Z";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -89.75;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.25;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"FMRC Best Dataset
2024-06-24T16:45:46Z https://www.ncei.noaa.gov/thredds/dodsC/ncFC/sat/landcover-HHAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection_best.ncd
2024-06-24T16:45:46Z https://www.ncei.noaa.gov/erddap/griddap/areaveg_hh_by_latitude_longitude.das";
    String id "land-cover_hh_landcover_yr2004.nc";
    String infoUrl "https://www.ncei.noaa.gov/thredds/catalog/ncFC/sat/landcover-HHAREAVEG-fc/catalog.html?dataset=ncFC/sat/landcover-HHAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection_best.ncd";
    String institution "University of Illinois at Urbana-Champaign";
    String Keywords "EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > AFFORESTATION/REFORESTATION, EARTH SCIENCE > AGRICULTURE > FOREST SCIENCE > REFORESTATION, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > AGRICULTURAL LANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > DESERTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > FORESTS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > GRASSLANDS, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > SHRUBLAND/SCRUB, EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > URBAN LANDS, EARTH SCIENCE > BIOSPHERE > VEGETATION > AFFORESTATION/REFORESTATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DECIDUOUS VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > DOMINANT SPECIES, EARTH SCIENCE > BIOSPHERE > VEGETATION > EVERGREEN VEGETATION, EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER, EARTH SCIENCE > BIOSPHERE > VEGETATION > REFORESTATION, EARTH SCIENCE > HUMAN DIMENSIONS > HUMAN SETTLEMENTS > URBAN AREAS, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND COVER, EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE CLASSES, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE/LAND COVER CLASSIFICATION, EARTH SCIENCE > LAND SURFACE > LANDSCAPE > REFORESTATION";
    String keywords_vocabulary "NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 8.0";
    String license "No constraints on data access or use";
    String location "Proto fmrc:Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection";
    String metadata_link "gov.noaa.ncdc:C00814";
    String naming_authority "gov.noaa.ncdc";
    Float64 Northernmost_Northing 89.75;
    String references "https://dx.doi.org/10.1007/s11707-012-0314-2, https://dx.doi.org/10.1111/gcb.12207";
    String source "model";
    String sourceUrl "https://www.ncei.noaa.gov/thredds/dodsC/ncFC/sat/landcover-HHAREAVEG-fc/Historical_Land-Cover_Change_and_Land-Use_Conversions_Global_Dataset:_HH_AREAVEG_Feature_Collection_best.ncd";
    Float64 Southernmost_Northing -89.75;
    String spatial_coverage "Global";
    String spatial_domain "land only; all ocean grid cells have been filled with the specified missing values";
    String spatial_resolution "0.5x0.5 degrees lat/lon";
    String standard_name_vocabulary "CF Standard name Table (v25, 05 July 2013)";
    String summary "Historic Land Cover Change, Area Vegetation, HH Dimensioned By latitude, longitude.";
    String time_coverage_duration "one year";
    String time_coverage_resolution "yearly";
    String title "Historic Land Cover Change, Area Vegetation, HH By latitude, longitude";
    String vertical_levels "surface observations";
    Float64 Westernmost_Easting 0.25;
    String years_of_record "1770/01 -2005/12";
  }
}

 

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.

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/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a data variable name (e.g., sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][altitude][latitude][longitude]).

For details, see the griddap Documentation.


 
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