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Settlements World 1km Grid 2030 - GHSL GHS SMOD

The GHS Settlement Model grid (R2023) dataset provides detailed information on the distribution of human settlements on a global scale. The data consists of spatial grids that display the presence and density of buildings and population. Each grid is a 1x1 kilometer raster. The dataset is based on a combination of satellite imagery and demographic datasets.



The goal is to provide a uniform and detailed view of the development of human settlements worldwide. The dataset will be regularly updated in the future to incorporate new data and track trends over a longer period. The GHS Settlement Model grid (R2023) dataset is managed and published by the Joint Research Centre (JRC) of the European Commission.



The Province of South Holland offers this data through its partnership with METREX, a network of European metropolitan regions and areas. The Province of South Holland is a member of this network.



The dataset can be used for topics related to urban planning, policy development, and research into urban growth and development.

Standard

dataIdentificatie

Title

Settlements World 1km Grid 2030 - GHSL GHS SMOD

Date (Publication)
2024-10-17
Unique resource identifier
69eae4a9-8724-41c2-9b4b-46d38b1cd804
Status
Completed
Metadata language
Nederlands; Vlaams
Keywords
  • Metrex

  • Population

  • Europa

  • Steden

  • Cities

Use limitation

Geen gebruiksbeperkingen

Legal constraints

Access constraints
Other restrictions
Other constraints
Geen beperkingen
Point of contact
individualName organisationName electronicMailAddress role
provincie Zuid-Holland

teamgeo@pzh.nl

Point of contact
 

spatialInfo

N
S
E
W




Denominator
1000
referenceSystemIdentifier
Rijks Driehoeksstelsel
 

DataQuality

Hierarchy level
Dataset
Lineage

The GHS Settlement Model grid (R2023) dataset is based on a combination of:



-Satellite imagery (such as Landsat and Sentinel),

-Geospatial datasets (such as GHSL),

-Population data (from national censuses and international sources like the UN and WorldPop),

-Machine learning methods for processing and analyzing the data.

 

Metadata

Metadata language
Nederlands; Vlaams
Hierarchy level
Dataset
Metadata author
individualName organisationName electronicMailAddress role
provincie Zuid-Holland

teamgeo@pzh.nl

Point of contact
 
 

Overviews

N
S
E
W




Keywords



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