%0 Book Section
%9 OS CH : Chapitres d'ouvrages scientifiques
%A Artadji, Attoumane
%A Lipovac, L.
%A Andriamanantena, N.
%A Rousse, B.
%T Can we estimate sub-Saharan Africa's population from remote sensing images and land cover mapping ?
%B Digressions
%C Marseille
%D 2024
%E Cardi, J.
%E Favrot, M.
%E Gastineau, Bénédicte
%E Genin, Didier
%E Golaz, V.
%E Robles, C.
%L fdi:010093022
%G ENG
%I LPED
%@ 979-10-96763-15-3
%K BRESIL ; AFRIQUE SUBSAHARIENNE ; COTE D'IVOIRE
%K REPUBLIQUE DEMOCRATIQUE DU CONGO
%P 186-194
%U https://www.documentation.ird.fr/hor/fdi:010093022
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-02/010093022.pdf
%W Horizon (IRD)
%X Monitoring population densities and distribution from afar is a dream almost come true. Knowing how many people reside in specific localities is useful in post-catastrophy management as well as for national planning, especially in contexts  where access to population with surveys and censuses is impossible - situations of violence for instance. It is also precious when population changes fast - to monitor the opening of new frontier land, or the spread of fast-growing cities.  A satellite numbers increase and open data initiatives deliver an increasing amount of remote sensing data on a daily basis, urban footprint and population databases multiply.
%S Les Impromptus du LPED
%$ 108DEMOG1 ; 021GEOGEN