GHSL: Global building height 2018 (P2023A)

Dataset Availability

2018-01-01T00:00:00Z–2018-12-31T00:00:00Z

Dataset Provider

EC JRC

Earth Engine Snippet

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

Tags

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

Description

This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission data (30 m), and a global Sentinel-2 image composite from L1C data for the period 2017-2018.

More information about the GHSL data products can be found in the GHSL Data Package 2023 report, where the building height layer is referred to as the Average Net Building Height (ANBH).

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

Pixel Size
100 meters

Bands

Name	Units	Description
built_height	m	Average building height 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-H R2023A - GHS building height, derived from AW3D30, SRTM30, and Sentinel2 composite (2018). European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/85005901-3a49-48dd-9d19-6261354f56fe doi:10.2905/85005901-3A49-48DD-9D19-6261354F56FE

• 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/10.2905/85005901-3A49-48DD-9D19-6261354F56FE

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Code Editor (JavaScript)

var image = ee.Image("JRC/GHSL/P2023A/GHS_BUILT_H/2018");
var built = image.select('built_height');
var visParams = {
  min: 0.0,
  max: 12.0,
  palette: ['000000', '0d0887', '7e03a8', 'cc4778', 'f89540', 'f0f921'],
};

Map.setCenter(2.349014, 48.864716, 10);
Map.addLayer(built, visParams, 'Average building height [m], 2018');

Open in Code Editor

GHSL: Global building height 2018 (P2023A)

This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission data (30 m), and a …

JRC/GHSL/P2023A/GHS_BUILT_H, alos,building,built,built-environment,builtup,copernicus,dem,ghsl,height,jrc,population,sdg,sentinel2-derived,srtm,urban

2018-01-01T00:00:00Z/2018-12-31T00:00:00Z

-90 -180 90 180

Google Earth Engine

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

• https://doi.org/10.2905/85005901-3A49-48DD-9D19-6261354F56FE
• https://doi.org/10.2905/85005901-3A49-48DD-9D19-6261354F56FE