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Description: The spatial raster dataset depicts the spatial distribution of the building heights as extracted from the filtering of a composite of global digital elevation models (DEM) and the filtering of satellite imagery using linear regression techniques The used input DEMs are the ALOS World 3D - 30m (AW3D30, 2006-2011) and the Shuttle Radar Topography Mission 30m (SRTM30, 2000). The building heights extracted from these sources are updated using the support of the shadow markers extracted from the Sentinel2 image data composite of the year 2018 (GHS-composite-S2 R2020A). The Average of the Gross Building Height is the result of dividing the built-up volume by the grid surface. The Average of the Net Building Height is the result of dividing the built-up volume by the built-up surface.
Overview
Description: The spatial raster dataset depicts the spatial distribution of the building heights as extracted from the filtering of a composite of global digital elevation models (DEM) and the filtering of satellite imagery using linear regression techniques The used input DEMs are the ALOS World 3D - 30m (AW3D30, 2006-2011) and the Shuttle Radar Topography Mission 30m (SRTM30, 2000). The building heights extracted from these sources are updated using the support of the shadow markers extracted from the Sentinel2 image data composite of the year 2018 (GHS-composite-S2 R2020A). The Average of the Gross Building Height is the result of dividing the built-up volume by the grid surface. The Average of the Net Building Height is the result of dividing the built-up volume by the built-up surface.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
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This is a publicly available data set. No subscription is required.
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Delivery details
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Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- The GHS Average of the Gross Building raster layer in World Mollweide (EPSG:54009) at 100m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3ss spatial resolution. Spatial extent is Global and temporal extent is 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/
- Description
- The GHS Average of the Net Building raster layer in World Mollweide (EPSG:54009) at 100m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3ss spatial resolution. Spatial extent is Global and temporal extent is 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/
- 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
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How to cite
GHS-BUILT-H was accessed on DATE from https://registry.opendata.aws/ghs-built-h .
License
The GHSL data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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