Artadji Attoumane, Lipovac L., Andriamanantena N., Rousse B. (2024). Can we estimate sub-Saharan Africa's population from remote sensing images and land cover mapping ?. In :
Cardi J. (ed.), Favrot M. (ed.), Gastineau Bénédicte (ed.), Genin Didier (ed.), Golaz V. (ed.), Robles C. (ed.). Digressions. Marseille : LPED, 186-194. (Les Impromptus du LPED). ISBN 979-10-96763-15-3.
Titre du document
Can we estimate sub-Saharan Africa's population from remote sensing images and land cover mapping ?
Année de publication
2024
Type de document
Partie d'ouvrage
Auteurs
Artadji Attoumane, Lipovac L., Andriamanantena N., Rousse B.
In
Cardi J. (ed.), Favrot M. (ed.), Gastineau Bénédicte (ed.), Genin Didier (ed.), Golaz V. (ed.), Robles C. (ed.) Digressions
Source
Marseille : LPED, 2024,
186-194 (Les Impromptus du LPED). ISBN 979-10-96763-15-3
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.
Plan de classement
Géographie générale [021GEOGEN]
;
Démographie, population [108DEMOG1]
