The goal of this project is to estimate population size and density, as well as related information such as settlement type and population changes. This information will be sourced from satellite images and social media posts, processed with Machine Learning algorithms, and integrated into detailed, spatially resolved population maps. This will help the ICRC to estimate the size of conflict-​affected populations and potential returnees and plan its humanitarian response accordingly. More information can be found in this paper.

ETHZ PI: Prof. Konrad Schindler, Photogrammetry and Remote Sensing, D-​BAUG;
EPFL PI: Prof. Devis TuiaEnvironmental Computational Science and Earth Observation Laboratory, EPFL

Partners: Thao Ton That Whelan, ICRC and Ferda Ofli, Qatar Computing Research Institute

Photo: ICRC

Secure Infrastructure for Humanitarian Organisations
Sustainable Construction in Humanitarian Action