Global Human Habitat Layer 2023
The Global Human Habitat Layer (GHSL) project is a comprehensive initiative to generate global spatial data and evidence-based analysis providing insights into the distribution and characteristics of human presence on Earth. This project follows an open and unrestricted data and method access policy. The knowledge gained from GHSL plays a vital role in shaping European policy, contributing to public discussion and the implementation of international frameworks such as the 2030 Development Agenda. This release provides enhanced floor area information, including surface, volume and height measurements, and population data. Additionally, it introduces a new settlement model, and a classification system for administrative and territorial units based on the "degree of urbanization" framework. The 2023 Global Survey of Human Habitat data package consists of multitemporal products that provide insight into human presence in the past (5-year epochs from 1975 to 2020) and future (2025 and 2030). The datasets included are listed below along with descriptors and dataset citations. Foreword – The Artificial Intelligence Tutorial For the methodology and other details on the product itself, click here. https://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2023.pdfDataset
details
GHS-BUILT-S R2023A - Globally Harmonized System (GHS) built-up area surface grid derived from Sentinel-2 composite data (2018) and Landsat multitemporal data (1975-2030, 5-year interval). 10m resolution sub-pixel built-up fraction (BUFRAC) estimates synthetically generated from 10m resolution Sentinel-2 imagery using buildings from GHS-BUILT-S2 R2020A, Facebook Settlement, Microsoft and Open Street Map (OSM) The demarcated data serves as the learning set. The inference engine is a Multiple Quantization-Minimization-Support (MQMS) generalization of the Symbolic Machine Learning (SML) method (Pesaresi, Syrris et al., 2016) with a resolution of 100 meters in 2030.
GHS-BUILT-H R2023A - GHS Building Heights from AW3D30, SRTM30 and Sentinel-2 Composite Data (2018)
GHS-BUILT-V R2023A - Multitemporal Union from Sentinel-2, Landsat and Global DEM Data Estimated GHS Building Volume Grid (1975-2030, 5-year intervals)
GHS-BUILT-C R2023A - GHS Settlement Characteristics, derived from Sentinel-2 Composite Data (2018) and other GHS R2023A data
GHS-POP R2023A - GHS Multitemporal Population Grid (1975-2030, 5-year interval)
GHS-SMOD R2023A - GHS Settlement Layer, Degree of Urbanization Method (Phase 1) in GHS-POP R2023A and Application in GHS-BUILT-S R2023A, Multitemporal (1975-2030, 5-year intervals)
Dataset reference
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) [Dataset] doi: 10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA PID:
http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea
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) [Dataset] doi:
10.2905/85005901-3A49-48DD-9D19-6261354F56FE PID: http://data.europa.eu/89h/85005901-3a49-
48dd-9d19-6261354f56fe
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) [Dataset] doi: 10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283
PID: http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283
Pesaresi, Martino; Politis, Panagiotis (2023): GHS-BUILT-C R2023A - GHS Settlement Characteristics, derived
from Sentinel2 composite (2018) and other GHS R2023A data. European Commission, Joint Research Centre
(JRC) [Dataset] doi: 10.2905/3C60DDF6-0586-4190-854B-F6AA0EDC2A30 PID:
http://data.europa.eu/89h/3c60ddf6-0586-4190-854b-f6aa0edc2a30
Schiavina, Marcello; Freire, Sergio; Alessandra Carioli; MacManus, Kytt (2023): GHS-POP R2023A - GHS
population grid multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) [Dataset] doi:
10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-
8f40-c41da8332cfe
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) [Dataset] doi:
10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA PID: http://data.europa.eu/89h/a0df7a6f-49de-46ea9bde-563437a6e2bathe code
var GHS_BUILT_S_2018 = ee.ImageCollection("projects/sat-io/open-datasets/GHS/GHS_BUILT_S_E2018_GLOBE_R2023A_54009_10_V1_0");
var GHS_BUILT_S_2030 = ee.Image("projects/sat-io/open-datasets/GHS/GHS_BUILT_S_E2030_GLOBE_R2023A_54009_100_V1_0");
var GHS_BUILT_H = ee.Image("projects/sat-io/open-datasets/GHS/GHS_BUILT_H_AGBH_E2018_GLOBE_R2023A_54009_100_V1_0");
var GHS_BUILT_V = ee.Image("projects/sat-io/open-datasets/GHS/GHS_BUILT_V_E2030_GLOBE_R2023A_54009_100_V1_0");
var GHS_BUILT_C = ee.ImageCollection("projects/sat-io/open-datasets/GHS/GHS_BUILT_C_MSZ_E2018_GLOBE_R2023A_54009_10_V1_0");
var GHS_POP = ee.Image("projects/sat-io/open-datasets/GHS/GHS_POP_E2030_GLOBE_R2023A_54009_100_V1_0");
var GHS_SMOD = ee.Image("projects/sat-io/open-datasets/GHS/GHS_SMOD_E2030_GLOBE_R2023A_54009_1000_V1_0");
var degreeOfUrbanization = ee.Image('projects/sat-io/open-datasets/GHS/GHS_SMOD_E2030_GLOBE_R2023A_54009_1000_V1_0');
var populationCount = ee.Image('projects/sat-io/open-datasets/GHS/GHS_POP_E2030_GLOBE_R2023A_54009_100_V1_0');
var smod_vis = {min: 10,max: 26,palette: ['000000', '448564', '70daa4', 'ffffff']};
var pop_vis = {min: 0.0,max: 125.0,palette: ['060606', '337663', '337663', 'ffffff']};
Map.setCenter(114.96, 31.13, 4);
Map.addLayer(degreeOfUrbanization, smod_vis, 'Degree of Urbanization');
Map.addLayer(populationCount, pop_vis, 'Population Count');
License¶
The GHSL has been produced by the EC JRC 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.
Created by: ESA & JRC
Curated in GEE by : Samapriya Roy
keywords: Global Population, Population count, Urban structure, Built up area, Built up volume, Building height
Last modified: 2022-01-20
Last updated on GEE: 2022-09-25