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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.
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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.
The layers present the application of the Degree of Urbanisation stage I methodology recommended by UN Statistical Commission to the global population grid generated by the JRC in the epochs 1975-2030 (5 years timestep). They have been generated by integration of built-up surface extracted from Landsat and Sentinel-2 image data processing (GHS-BUILT-S R2023), and population data derived from the CIESIN GPW v4.11 (GHS-POP R2023). This product (v2) is an update of the data released in 2023 (v1) based on GHS-BUILT-S, GHS-POP and uses an updated definition of Semi-Dennse Urban Clusters. The Settlement Model is provided at the detailed level (Second Level - L2). First level can be obtained aggregating L2.
The spatial raster dataset depicts the distribution of residential population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or administrative units to grid cells, informed by the distribution, volume, and classification of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.