ESA WorldCover 10m v100

ESA/WorldCover/v100
Dataset Availability
2020-01-01T00:00:00Z–2021-01-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("ESA/WorldCover/v100")
Tags
esa landcover landuse sentinel1-derived sentinel2-derived

Description

The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of the ESA WorldCover project, part of the 5th Earth Observation Envelope Programme (EOEP-5) of the European Space Agency.

See also:

Bands

Resolution
10 meters

Bands

Name Description
Map

Landcover class

Map Class Table

Value Color Description
10 #006400 Tree cover
20 #ffbb22 Shrubland
30 #ffff4c Grassland
40 #f096ff Cropland
50 #fa0000 Built-up
60 #b4b4b4 Bare / sparse vegetation
70 #f0f0f0 Snow and ice
80 #0064c8 Permanent water bodies
90 #0096a0 Herbaceous wetland
95 #00cf75 Mangroves
100 #fae6a0 Moss and lichen

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021. ESA WorldCover 10 m 2020 v100. (doi:10.5281/zenodo.5571936)

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('ESA/WorldCover/v100').first();

var visualization = {
  bands: ['Map'],
};

Map.centerObject(dataset);

Map.addLayer(dataset, visualization, 'Landcover');

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.ImageCollection('ESA/WorldCover/v100').first()

visualization = {
    'bands': ['Map'],
}

m = geemap.Map()
m.center_object(dataset)
m.add_layer(dataset, visualization, 'Landcover')
m
Open in Code Editor