Dataset Open Access

Dakar population estimates at 100x100m spatial resolution - grid layer - Dasymetric mapping

Grippa Taïs

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<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:contributor>Linard Catherine</dc:contributor>
  <dc:contributor>Lennert Moritz</dc:contributor>
  <dc:contributor>Georganos Stefanos</dc:contributor>
  <dc:contributor>Mboga Nicholus</dc:contributor>
  <dc:contributor>Vanhuysse Sabine</dc:contributor>
  <dc:contributor>Gadiaga Assane</dc:contributor>
  <dc:contributor>Wolff Eléonore</dc:contributor>
  <dc:creator>Grippa Taïs</dc:creator>
  <dc:description>This dataset contains the a raster layer with the population estimates obtained using a dasymetric mapping procedure (top-down approach). For a detailed description of the methodology, please refer to the following paper:

Grippa, Taïs, Catherine Linard, Moritz Lennert, Stefanos Georganos, Nicholus Mboga, Sabine Vanhuysse, Assane Gadiaga, and Eléonore Wolff. 2019. “Improving Urban Population Distribution Models with Very-High Resolution Satellite Information.” Data 4 (1): 13.

Funding and aknowledgement: 

This dataset was produced in the frame of two research project : MAUPP ( and REACT (, funded by the Belgian Federal Science Policy Office (BELSPO).

The authors gratefully thanks the \href{}{ASSESS project}, funded by the \href{}{ARES-CDD}, that provided the access to the census data.</dc:description>
  <dc:subject>Dasymetric mapping</dc:subject>
  <dc:subject>Population modeling</dc:subject>
  <dc:subject>Population estimates</dc:subject>
  <dc:title>Dakar population estimates at 100x100m spatial resolution - grid  layer - Dasymetric mapping</dc:title>
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