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The spatial raster dataset depicts the distribution of built-up volumes, expressed as number of cubic metres. The data reports about the total built-up volume and the built-up volume allocated to dominant non-residential (NRES) uses.
Overview
The spatial raster dataset depicts the distribution of built-up volumes, expressed as number of cubic metres. The data reports about the total built-up volume and the built-up volume allocated to dominant non-residential (NRES) uses.
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.
Pricing
This is a publicly available data set. No subscription is required.
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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 built-up volume raster layer in World Mollweide (EPSG:54009) at 100m and 1000m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3ss and 30ss spatial resolution. Spatial extent is Global and temporal extent is from 1975 to 2030 in 5 years interval
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::jrc-ghsl/ghs-built-v
- AWS region
- eu-central-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-built-v/
- Description
- The GHS “non-residential domain” (NRES) built-up volume raster layer in World Mollweide (EPSG:54009) at 100m and 1000m spatial resolution; also available in WGS 1984 (EPSG:4326) at 3ss and 30ss spatial resolution. Spatial extent is Global and temporal extent is from 1975 to 2030 in 5 years interval
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::jrc-ghsl/ghs-built-v-nres
- AWS region
- eu-central-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-built-v-nres/
- 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-V was accessed on DATE from https://registry.opendata.aws/ghs-built-v .
License
The GHSL data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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The spatial raster dataset depicts the distribution of built-up surfaces, expressed as number of square metres. The data report about the total built-up surface and the built-up surface allocated to dominant non-residential (NRES) uses. Data are spatial-temporal interpolated or extrapolated from 1975 to 2030 in 5 years intervals. For the temporal anchor point of 2018 the data is published at 10m as observed from the S2 image data.
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.
Sample dataset for BuiltWith Technology Datasets.
Land fraction per pixel as derived from Sentinel2 data composite and OpenStreetMap (OSM) data.