RS for Demographic studies (2020 - Today)


In a globalized context increasingly impacted by climate change, demographic studies would gain from taking environmental data into account and be carried out at the transnational level. However, this is not always possible in sub-Saharan Africa, as matching harmonized demographic and environ- mental data are seldom available. The large amount of data regularly acquired since 2015 (in 2019 only, Sentinel satellites from the European Space Agency produced 7.54 PiB of open-access data) provides an opportunity to produce relevant standardized indicators at the global scale. In this project, we aim at producing such indicators that can be matched to demographic surveys.

This project is the result of a partnership with INED and is funded by the DiiP.


Supervision team:

  • Sylvain Lobry
  • Laurent Wendling
  • Valérie Golaz (INED)
  • Géraldine Duthé (INED)


  • Basile Rousse (2021-Today)
  • Lys Thay (2021)


International Conferences

  1. Linking population data to high resolution maps: a case study in Burkina Faso
    Basile Rousse, Sylvain Lobry, Géraldine Duthé, and 2 more authors
    In Machine Learning for Remote Sensing at ICLR (oral presentation), 2023
  2. Seasonal semi-supervised domain adaptation for linking population studies and Local Climate Zones
    Basile Rousse, Sylvain Lobry, Géraldine Duthé, and 2 more authors
    In Joint Urban Remote Sensing Event (JURSE), 2023
  3. Matching environmental data produced from remote sensing images to demographic data in Sub-Saharan Africa
    Lys Thay*, Basile Rousse*, Sylvain Lobry, and 3 more authors
    In ESA Living Planet Symposium, 2022