GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A)

JRC/GHSL/P2023A/GHS_SMOD_V2-0
Dataset Availability
1975-01-01T00:00:00Z–2030-12-31T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("JRC/GHSL/P2023A/GHS_SMOD_V2-0")

Description

This raster dataset represents a global, multitemporal rural-urban classification, applying the "Degree of Urbanisation" stage I methodology recommended by UN Statistical Commission, based on global gridded population and built-up surface data generated by the GHSL project for the epochs 1975-2030 in 5-year intervals. The Degree of Urbanisation layers have been generated by integrating information on built-up surface extracted from Landsat and Sentinel-2 data GHS-BUILT-S R2023, and gridded population data derived from CIESIN GPW v4.11 GHS-POP R2023. This product is an update of the data released in 2023 based on the updates of the GHS-BUILT-S and GHS-POP. The Settlement Model is provided at the detailed level (Second Level - L2). The first-level classification can be obtained by aggregating L2.

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 Center, and Directorate-General for Regional and Urban Policy.

Bands

Resolution
1000 meters

Bands

Name Description
smod_code

Degree of urbanization

smod_code Class Table

Value Color Description
-200 #000000 No Data
10 #7ab6f5 Water
11 #cdf57a Very low density rural
12 #abcd66 Low density rural
13 #375623 Rural cluster
21 #ffff00 Suburban or peri-urban
22 #a87000 Semi-dense urban cluster
23 #732600 Dense urban cluster
30 #ff0000 Urban centre

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 : Schiavina, Marcello; Melchiorri, Michele; Pesaresi, Martino (2023): GHS-SMOD R2023A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba doi:10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA

  • 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

Explore with Earth Engine

Code Editor (JavaScript)

var image = ee.Image("JRC/GHSL/P2023A/GHS_SMOD_V2-0/2030");
var smod = image.select('smod_code');
Map.setCenter(84, 25, 5);
Map.addLayer(image, {}, 'Degree of Urbanization');
Open in Code Editor
This raster dataset represents a global, multitemporal rural-urban classification, applying the "Degree of Urbanisation" stage I methodology recommended by UN Statistical Commission, based on global gridded population and built-up surface data generated by the GHSL project for the epochs 1975-2030 in 5-year intervals. The Degree of Urbanisation layers have been …
JRC/GHSL/P2023A/GHS_SMOD_V2-0, ghsl,jrc,sdg,settlement
1975-01-01T00:00:00Z/2030-12-31T00:00:00Z
Google Earth Engine