Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3

COPERNICUS/Landcover/100m/Proba-V-C3/Global
Dataset Availability
2015-01-01T00:00:00Z–2019-12-31T23:59:59Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("COPERNICUS/Landcover/100m/Proba-V-C3/Global")
Tags
copernicus eea esa eu landcover landuse-landcover proba probav vito

Description

The Copernicus Global Land Service (CGLS) is earmarked as a component of the Land service to operate a multi-purpose service component that provides a series of bio-geophysical products on the status and evolution of land surface at global scale.

The Dynamic Land Cover map at 100 m resolution (CGLS-LC100) is a new product in the portfolio of the CGLS and delivers a global land cover map at 100 m spatial resolution. The CGLS Land Cover product provides a primary land cover scheme. Next to these discrete classes, the product also includes continuous field layers for all basic land cover classes that provide proportional estimates for vegetation/ground cover for the land cover types. This continuous classification scheme may depict areas of heterogeneous land cover better than the standard classification scheme and, as such, can be tailored for application use (e.g. forest monitoring, crop monitoring, biodiversity and conservation, monitoring environment and security in Africa, climate modelling, etc.).

These consistent Land Cover maps (v3.0.1) are provided for the period 2015-2019 over the entire Globe, derived from the PROBA-V 100 m time-series, a database of high quality land cover training sites and several ancillary datasets, reaching an accuracy of 80% at Level1 over all years. It is planned to provide yearly updates from 2020 through the use of a Sentinel time-series.

See also:

Bands

Pixel Size
100 meters

Bands

Name Units Min Max Pixel Size Description
discrete_classification 0 200 meters

Land cover classification
discrete_classification-proba % 0 100 meters

Quality indicator (classification probability) of the discrete classification
forest_type 0 5 meters

Forest type for all pixels with tree percentage vegetation cover bigger than 1 %
bare-coverfraction % 0 100 meters

Percent vegetation cover for bare-sparse-vegetation land cover class
crops-coverfraction % 0 100 meters

Percent vegetation cover for cropland land cover class
grass-coverfraction % 0 100 meters

Percent vegetation cover for herbaceous vegetation land cover class
moss-coverfraction % 0 100 meters

Percent vegetation cover for moss and lichen land cover class
shrub-coverfraction % 0 100 meters

Percent vegetation cover for shrubland land cover class
tree-coverfraction % 0 100 meters

Percent vegetation cover for forest land cover class
snow-coverfraction % 0 100 meters

Percent ground cover for snow and ice land cover class
urban-coverfraction % 0 100 meters

Percent ground cover for built-up land cover class
water-permanent-coverfraction % 0 100 meters

Percent ground cover for permanent water land cover class
water-seasonal-coverfraction % 0 100 meters

Percent ground cover for seasonal water land cover class
data-density-indicator 0 100 meters

Data density indicator for algorithm input data
change-confidence 0 3 meters

This layer is only provided for years after the BaseYear 2015.

  • 0 - No change. No change in discrete class between year and previous year detected.
  • 1 - Potential change. BFASTmon detected break in second half of NRT year - potential change.
  • 2 - Medium confidence. Imprint of urban, permanent water, snow or wetland OR change detected by BFAST but HMM model didn't confirm this break in higher resolution OR change detected by BFASTmon in the first half of NRT year.
  • 3 - High confidence. BFAST detected a change and HMM confirmed this change in higher resolution.

discrete_classification Class Table

Value Color Description
0 #282828

Unknown. No or not enough satellite data available.
20 #ffbb22

Shrubs. Woody perennial plants with persistent and woody stems and without any defined main stem being less than 5 m tall. The shrub foliage can be either evergreen or deciduous.
30 #ffff4c

Herbaceous vegetation. Plants without persistent stem or shoots above ground and lacking definite firm structure. Tree and shrub cover is less than 10 %.
40 #f096ff

Cultivated and managed vegetation / agriculture. Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.
50 #fa0000

Urban / built up. Land covered by buildings and other man-made structures.
60 #b4b4b4

Bare / sparse vegetation. Lands with exposed soil, sand, or rocks and never has more than 10 % vegetated cover during any time of the year.
70 #f0f0f0

Snow and ice. Lands under snow or ice cover throughout the year.
80 #0032c8

Permanent water bodies. Lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies.
90 #0096a0

Herbaceous wetland. Lands with a permanent mixture of water and herbaceous or woody vegetation. The vegetation can be present in either salt, brackish, or fresh water.
100 #fae6a0

Moss and lichen.
111 #58481f

Closed forest, evergreen needle leaf. Tree canopy >70 %, almost all needle leaf trees remain green all year. Canopy is never without green foliage.
112 #009900

Closed forest, evergreen broad leaf. Tree canopy >70 %, almost all broadleaf trees remain green year round. Canopy is never without green foliage.
113 #70663e

Closed forest, deciduous needle leaf. Tree canopy >70 %, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods.
114 #00cc00

Closed forest, deciduous broad leaf. Tree canopy >70 %, consists of seasonal broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods.
115 #4e751f

Closed forest, mixed.
116 #007800

Closed forest, not matching any of the other definitions.
121 #666000

Open forest, evergreen needle leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, almost all needle leaf trees remain green all year. Canopy is never without green foliage.
122 #8db400

Open forest, evergreen broad leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, almost all broadleaf trees remain green year round. Canopy is never without green foliage.
123 #8d7400

Open forest, deciduous needle leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods.
124 #a0dc00

Open forest, deciduous broad leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, consists of seasonal broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods.
125 #929900

Open forest, mixed.
126 #648c00

Open forest, not matching any of the other definitions.
200 #000080

Oceans, seas. Can be either fresh or salt-water bodies.

forest_type Class Table

Value Color Description
0 #282828

Unknown
1 #666000

Evergreen needle leaf
2 #009900

Evergreen broad leaf
3 #70663e

Deciduous needle leaf
4 #a0dc00

Deciduous broad leaf
5 #929900

Mix of forest types

Image Properties

Image Properties

Name Type Description
discrete_classification_class_names STRING_LIST

Land cover class names
discrete_classification_class_palette STRING_LIST

Land cover class palette
discrete_classification_class_values INT_LIST

Value of the land cover classification.
forest_type_class_names STRING_LIST

forest cover class names
forest_type_class_palette STRING_LIST

forest cover class palette
forest_type_class_values INT_LIST

forest cover class values

Terms of Use

Terms of Use

As official product of the global component of the Copernicus Land Service, access to this land cover dataset is fully free and open to all users.

Citations

Citations:

  • Buchhorn, M. ; Lesiv, M. ; Tsendbazar, N. - E. ; Herold, M. ; Bertels, L. ; Smets, B. Copernicus Global Land Cover Layers-Collection 2. Remote Sensing 2020, 12Volume 108, 1044. doi:10.3390/rs12061044

  • Buchhorn, M., Smets, B., Bertels, L., Roo, B. D., Lesiv, M., Tsendbazar, N.-E., Herold, M., & Fritz, S. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2017: Globe (Version V3.0.1) [Data set]. Zenodo.

  • Buchhorn, M., Smets, B., Bertels, L., Roo, B. D., Lesiv, M., Tsendbazar, N.-E., Herold, M., & Fritz, S. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2018: Globe (Version V3.0.1) [Data set]. Zenodo.

  • Buchhorn, M., Smets, B., Bertels, L., Roo, B. D., Lesiv, M., Tsendbazar, N.-E., Herold, M., & Fritz, S. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2015: Globe (Version V3.0.1) [Data set]. Zenodo.

  • Buchhorn, M., Smets, B., Bertels, L., Roo, B. D., Lesiv, M., Tsendbazar, N.-E., Herold, M., & Fritz, S. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (Version V3.0.1) [Data set]. Zenodo.

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.Image('COPERNICUS/Landcover/100m/Proba-V-C3/Global/2019')
.select('discrete_classification');

Map.setCenter(-88.6, 26.4, 1);

Map.addLayer(dataset, {}, 'Land Cover');

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap

Colab (Python)

dataset = ee.Image('COPERNICUS/Landcover/100m/Proba-V-C3/Global/2019').select(
    'discrete_classification'
)

m = geemap.Map()
m.set_center(-88.6, 26.4, 1)
m.add_layer(dataset, {}, 'Land Cover')
m
Open in Code Editor
The Copernicus Global Land Service (CGLS) is earmarked as a component of the Land service to operate a multi-purpose service component that provides a series of bio-geophysical products on the status and evolution of land surface at global scale. The Dynamic Land Cover map at 100 m resolution (CGLS-LC100) is …
COPERNICUS/Landcover/100m/Proba-V-C3/Global, copernicus,eea,esa,eu,landcover,landuse-landcover,proba,probav,vito
2015-01-01T00:00:00Z/2019-12-31T23:59:59Z
-90 -180 90 180
Google Earth Engine