Land Cover Map of ESA CCI brokered by CDS#

How to open this dataset in DeepESDL JupyterLab#

from import new_data_store
store = new_data_store("s3", root="deep-esdl-public", storage_options=dict(anon=True))
# The cube is saved as a multilevel cube, the level 0 is the base layer with 
# the highest resolution
ml_dataset = store.open_data('LC-1x2160x2160-1.0.0.levels')
# Chek how many levels are present
# Open dataset at a certain level, here level 0
ds = ml_dataset.get_dataset(0)

Bounding box map#

Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.

Basic information#

Parameter Value
Bounding box longitude (°) -180.0 to 180.00000000000003
Bounding box latitude (°) -90.0 to 90.00000000000001
Time range 2010-01-01 to 2020-12-31

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable Long name Units
change_count number of class changes [none]
current_pixel_state LC pixel type mask [none]
lat_bounds [none] [none]
lccs_class Land cover class defined in LCCS [none]
lon_bounds [none] [none]
observation_count number of valid observations [none]
processed_flag LC map processed area flag [none]
time_bounds [none] [none]

Full variable metadata#


Field Value
long_name number of class changes
valid_max 100
valid_min 0


Field Value
i2m 0.002777777777778,0.0,0.0,-0.002777777777778,-180.0,90.0
wkt GEOGCS["WGS 84", DATUM["World Geodetic System 1984", SPHEROID["WGS 84", 6378137.0, 298.257223563, AUTHORITY["EPSG","7030"]], AUTHORITY["EPSG","6326"]], PRIMEM["Greenwich", 0.0, AUTHORITY["EPSG","8901"]], UNIT["degree", 0.017453292519943295], AXIS["Geodetic longitude", EAST], AXIS["Geodetic latitude", NORTH], AUTHORITY["EPSG","4326"]]


Field Value
flag_meanings invalid clear_land clear_water clear_snow_ice cloud cloud_shadow
flag_values 0, 1, 2, 3, 4, 5
long_name LC pixel type mask
standard_name land_cover_lccs status_flag
valid_max 5
valid_min 0



Field Value
ancillary_variables processed_flag current_pixel_state observation_count change_count
flag_colors #ffff64 #ffff64 #ffff00 #aaf0f0 #dcf064 #c8c864 #006400 #00a000 #00a000 #aac800 #003c00 #003c00 #005000 #285000 #285000 #286400 #788200 #8ca000 #be9600 #966400 #966400 #966400 #ffb432 #ffdcd2 #ffebaf #ffc864 #ffd278 #ffebaf #00785a #009678 #00dc82 #c31400 #fff5d7 #dcdcdc #fff5d7 #0046c8 #ffffff
flag_meanings no_data cropland_rainfed cropland_rainfed_herbaceous_cover cropland_rainfed_tree_or_shrub_cover cropland_irrigated mosaic_cropland mosaic_natural_vegetation tree_broadleaved_evergreen_closed_to_open tree_broadleaved_deciduous_closed_to_open tree_broadleaved_deciduous_closed tree_broadleaved_deciduous_open tree_needleleaved_evergreen_closed_to_open tree_needleleaved_evergreen_closed tree_needleleaved_evergreen_open tree_needleleaved_deciduous_closed_to_open tree_needleleaved_deciduous_closed tree_needleleaved_deciduous_open tree_mixed mosaic_tree_and_shrub mosaic_herbaceous shrubland shrubland_evergreen shrubland_deciduous grassland lichens_and_mosses sparse_vegetation sparse_tree sparse_shrub sparse_herbaceous tree_cover_flooded_fresh_or_brakish_water tree_cover_flooded_saline_water shrub_or_herbaceous_cover_flooded urban bare_areas bare_areas_consolidated bare_areas_unconsolidated water snow_and_ice
flag_values 0, 10, 11, 12, 20, 30, 40, 50, 60, 61, 62, 70, 71, 72, 80, 81, 82, 90, 100, 110, 120, 121, 122, 130, 140, 150, 151, 152, 153, 160, 170, 180, 190, 200, 201, 202, 210, 220
long_name Land cover class defined in LCCS
standard_name land_cover_lccs
valid_max 220
valid_min 1



Field Value
long_name number of valid observations
standard_name land_cover_lccs number_of_observations
valid_max 32767
valid_min 0


Field Value
flag_meanings not_processed processed
flag_values 0, 1
long_name LC map processed area flag
standard_name land_cover_lccs status_flag
valid_max 1
valid_min 0


Full dataset metadata#

Field Value
Conventions CF-1.6
TileSize 2025:2025
cdm_data_type grid
creation_date 20181130T095431Z
creator_name UCLouvain
geospatial_lat_max 90.0
geospatial_lat_min -90.0
geospatial_lat_resolution 0.002778
geospatial_lat_units degrees_north
geospatial_lon_max 180
geospatial_lon_min -180
geospatial_lon_resolution 0.002778
geospatial_lon_units degrees_east
history amorgos-4,0, lc-sdr-1.0, lc-sr-1.0, lc-classification-1.0,lc-user-tools-3.13,lc-user-tools-4.3
id ESACCI-LC-L4-LCCS-Map-300m-P1Y-2010-v2.0.7cds
institution UCLouvain
keywords land cover classification,satellite,observation
keywords_vocabulary NASA Global Change Master Directory (GCMD) Science Keywords
license ESA CCI Data Policy: free and open access
naming_authority org.esa-cci
product_version 2.0.7cds
project Climate Change Initiative - European Space Agency
source MERIS FR L1B version 5.05, MERIS RR L1B version 8.0, SPOT VGT P
spatial_resolution 300m
standard_name_vocabulary NetCDF Climate and Forecast (CF) Standard Names version 21
summary This dataset characterizes the land cover of a particular year (see time_coverage). The land cover was derived from the analysis of satellite data time series of the full period.
time_coverage_duration P1Y
time_coverage_end 20101231
time_coverage_resolution P1Y
time_coverage_start 20100101
title Land Cover Map of ESA CCI brokered by CDS
tracking_id 96ac9aca-1ca7-45c6-b4a5-ab448c692646
type ESACCI-LC-L4-LCCS-Map-300m-P1Y