GHSL: Global built-up surface 1975-2030 (P2023A)

Dataset Availability

1975-01-01T00:00:00Z–2030-12-31T00:00:00Z

Dataset Provider

EC JRC

Earth Engine Snippet

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

Tags

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

Description

This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 100 m grid cell. The dataset measures: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. Data are spatially-temporally interpolated or extrapolated from 1975 to 2030 in 5 year intervals.

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
100 meters

Bands

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

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_1975 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_S/1975');
var built_1975 = image_1975.select('built_surface');
var image_2020 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_S/2020');
var built_2020 = image_2020.select('built_surface');
var visParams = {min: 0.0, max: 8000.0, palette: ['000000', 'FFFFFF']};

Map.setCenter(77.156, 28.6532, 10);
Map.addLayer(built_1975, visParams, 'Built-up surface [m2], 1975');
Map.addLayer(built_2020, visParams, 'Built-up surface [m2], 2020');

Open in Code Editor

GHSL: Global built-up surface 1975-2030 (P2023A)

This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 100 m grid cell. The dataset measures: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. Data are spatially-temporally interpolated or extrapolated from 1975 to 2030 …

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

1975-01-01T00:00:00Z/2030-12-31T00:00:00Z

Google Earth Engine

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

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