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GHSL - Global Human Settlement Layer

A new open and free tool for assessing the human presence on the planet

  • Produces new global spatial information, evidence-based analytics and knowledge describing the human presence on the planet
  • Operates in an open and free data and methods access policy (open input, open method, open output)
  • Supported by the Joint Research Centre (JRC) and the DG for Regional Development (DG REGIO) of the European Commission, together with the international partnership GEO Human Planet Initiative

Browse the slides below or visit our page on the EU Science Hub to find out more

  • 09/10/2019
  • 03/07/2019
    The GHSL Data Package 2019 is online - This major release of the Global Human Settlement Layer data (GHSL P2019) contains the new GHSL data produced in the period 2017 - 2019.
  • 12/06/2018
  • 28/01/2019
  • 26/09/2018
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More than 12.4k billion of individual image data records* collected by different satellite sensors in the past 40 years are classified and automatically selected if they correspond to a built-up structure. In different seasons, illumination conditions and any different geographical location and building practices. The presence of a building is the concrete sign of the human presence as recognized from space technologies. This enormous amount of information is aggregated in this small picture showing the density of buildings per unit surface in the whole landmass as understood by the machines automatically analyzing the image data: from darker (no buildings recognized) to brighter (spatial units full of buildings – or high density of buildings).

The data is organized in four epochs: 1975, 1990, 2000, and 2014. The pulsing of the white patches is a representation of the human activity in making new buildings in the past 40 years. It is the first time that humanity can be made aware of this simple fact, thanks to the most recent advances on spatial data mining technologies, and the availability of open and free image data input.

Augmented human self-awareness: new technologies for improving collective, free and open knowledge and objective understanding.

* A person taking one second to classify each individual data record, would need more than 390.000 years to finalize the task.

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