GHSL: Global built-up surface 10m (P2023A)

Dataset Availability

2018-01-01T00:00:00Z–2019-01-01T00:00:00Z

Dataset Provider

EC JRC

Earth Engine Snippet

ee.ImageCollection("JRC/GHSL/P2023A/GHS_BUILT_S_10m")

Tags

built built-environment builtup copernicus ghsl jrc landcover sdg sentinel2-derived settlement urban

Description

This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 10 m grid cell, for 2018 as observed from the S2 image data.

The datasets measure: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use.

The complete information about the GHSL main products can be found in the GHSL Data Package 2023 report

The Global Human Settlement Layer (GHSL) project is supported by the European Commission, Joint Research Centre, and Directorate-General for Regional and Urban Policy.

Bands

Resolution
10 meters

Bands

Name	Units	Description
built_surface	m^2	Built-up surface per grid cell
built_surface_nres		Non-residential built-up class (NRES)

built_surface_nres Class Table

Value	Color	Description
0	black	non-NRES
1	magenta	NRES

Terms of Use

Terms of Use

The GHSL has been produced by the European Commission Joint Research Centre as open and free data. Reuse is authorised, provided the source is acknowledged. For more information, please read the use conditions (European Commission Reuse and Copyright Notice).

Citations

Citations:

• Dataset : Pesaresi, Martino; Politis, Panagiotis (2023): GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC). PID: http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea doi:10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA

• Methodology : Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis, Sergio Freire, Katarzyna Krasnodebska, Johannes H. Uhl, Alessandra Carioli, et al. (2024). Advances on the Global Human Settlement Layer by Joint Assessment of Earth Observation and Population Survey Data. International Journal of Digital Earth 17(1). doi:10.1080/17538947.2024.2390454.

DOIs

• https://doi.org/10.1080/17538947.2024.2390454
• https://doi.org/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA

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Code Editor (JavaScript)

var image = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_S_10m/2018');
var built_total = image.select('built_surface');
var built_nres = image.select('built_surface_nres');
built_nres = built_nres.updateMask(built_nres.gt(0));

var visParams = {min: 0.0, max: 100.0, palette: ['000000', 'FFFFFF']};

Map.setCenter(31.23, 30.05, 12);
Map.addLayer(built_total, visParams, 'Built-up surface [m^2], 2018');
Map.addLayer(
    built_nres, {palette: ['magenta']},
    'Non-residential built-up surface, 2018');

Open in Code Editor

GHSL: Global built-up surface 10m (P2023A)

This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 10 m grid cell, for 2018 as observed from the S2 image data. The datasets measure: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. The …

JRC/GHSL/P2023A/GHS_BUILT_S_10m, built,built-environment,builtup,copernicus,ghsl,jrc,landcover,sdg,sentinel2-derived,settlement,urban

2018-01-01T00:00:00Z/2019-01-01T00:00:00Z

Google Earth Engine

https://developers.google.com/earth-engine/datasets

• https://doi.org/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA