GHSL global building height estimates (GHS-BUILT-H)
cities classification cog disaster response earth observation elevation geoscience geospatial global mapping planetary tiff tiles
Description
GHS-BUILT-H depicts the depicts the global spatial distribution of building heights extracted from global digital elevation models (DEMs) and Sentinel-2 satellite imagery. The datasets consist of two products: 1) Average of the Net Building Height (ANBH), representing the mean building height per grid cell, in meters, 2) Average of the Gross Building Height (AGBH), in cubic meters per surface unit. The input DEMs are the ALOS World 3D - 30m (2006-2011) and the Shuttle Radar Topography Mission 30m (timestamp 2000). The building heights extracted from these sources are updated using shadow markers extracted from more recent Sentinel-2 imagery for the year 2018 (GHS-composite-S2 R2020A).
Update Frequency
NA
License
GHSL data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Documentation
https://human-settlement.emergency.copernicus.eu/ghs_buH2023.php
Managed By
See all datasets managed by JRC.
Contact
How to Cite
GHSL global building height estimates (GHS-BUILT-H) was accessed on DATE from https://registry.opendata.aws/ghs-built-h.
Usage Examples
Tutorials
Publications
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Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and Population Survey data by PESARESI Martino, SCHIAVINA Marcello, POLITIS Panagiotis, FREIRE Sergio, GOCH Katarzyna, UHL Johannes H., CARIOLI Alessandra, CORBANE Christina, DIJKSTRA Lewis, FLORIO Pietro, FRIEDRICH Hannah K., GAO Jing, LEYK Stefan, LINLIN Lu, MAFFENINI Luca, MARI-RIVERO Ines, MELCHIORRI Michele, SYRRIS Vasileios, VAN DEN HOEK Jamon, KEMPER Thomas
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Generalized vertical components of built-up areas from global Digital Elevation Models by multi-scale linear regression modelling by PESARESI Martino, CORBAN Christina, REN Chao, EDWARD Ng
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GHSL Data Package 2023 by SCHIAVINA Marcello, MELCHIORRI Michele, PESARESI Martino, POLITIS Panagiotis, CARNEIRO FREIRE Sergio Manuel, MAFFENINI Luca, FLORIO Pietro, EHRLICH Daniele, GOCH Katarzyna, CARIOLI Alessandra, UHL Johannes, TOMMASI Pierpaolo, KEMPER Thomas
Resources on AWS
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- Description
- Average gross building height estimates in World Mollweide (EPSG:54009) at 100m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3 arcsecond spatial resolution, globally for the year 2018.
- Resource type
- S3 Bucket
- Amazon Resource Name (ARN)
arn:aws:s3:::jrc-ghsl/ghs-built-h-agbh- AWS Region
eu-central-1- AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-built-h-agbh/- Explore
- Browse Bucket
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- Description
- Average net building height estimates in World Mollweide (EPSG:54009) at 100m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3 arcsecond spatial resolution, globally for the year 2018.
- Resource type
- S3 Bucket
- Amazon Resource Name (ARN)
arn:aws:s3:::jrc-ghsl/ghs-built-h-anbh- AWS Region
eu-central-1- AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-built-h-anbh/- Explore
- Browse Bucket
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- Description
- Notifications for new data
- Resource type
- SNS Topic
- Amazon Resource Name (ARN)
arn:aws:sns:eu-central-1:291461994469:jrc-ghsl-object_created- AWS Region
eu-central-1