GHSL: Global building volume 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_V")

Tags

alos building built-environment copernicus dem ghsl jrc sdg sentinel2-derived srtm urban

Description

This raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up surface and building height products.

More information about the GHSL data 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_volume_total	m^3	Total building volume per grid cell
built_volume_nres	m^3	Non-residential building volume 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-V R2023A - GHS built-up volume grids derived from joint assessment of Sentinel2, Landsat, and global DEM data, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283 doi:10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283

• 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/AB2F107A-03CD-47A3-85E5-139D8EC63283

Explore with Earth Engine

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Code Editor (JavaScript)

var image_1975 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_V/1975');
var image_2020 = ee.Image('JRC/GHSL/P2023A/GHS_BUILT_V/2020');
var volume_total_1975 = image_1975.select('built_volume_total');
var volume_total_2020 = image_2020.select('built_volume_total');


var visParams = {
  min: 0,
  max: 80000,
  palette: ['000004', '51127c', 'b73779', 'fc8961', 'fcfdbf'],
};

Map.setCenter(77.156, 28.6532, 10);
Map.addLayer(volume_total_1975, visParams, 'Total building volume [m3], 1975');
Map.addLayer(volume_total_2020, visParams, 'Total building volume [m3], 2020');

Open in Code Editor

GHSL: Global building volume 1975-2030 (P2023A)

This raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up surface and building height products. …

JRC/GHSL/P2023A/GHS_BUILT_V, alos,building,built-environment,copernicus,dem,ghsl,jrc,sdg,sentinel2-derived,srtm,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/AB2F107A-03CD-47A3-85E5-139D8EC63283