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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.
Overview
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.
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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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 settlement raster layer in World Mollweide (EPSG:54009) at 1km spatial resolution; also available in WGS 1984 (EPSG:4326) at 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-smod
- AWS region
- eu-central-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://jrc-ghsl/ghs-smod/
- 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-SMOD was accessed on DATE from https://registry.opendata.aws/ghs-smod .
License
The GHSL data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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