@incollection{fdi:010093022,
  title = {{C}an we estimate sub-{S}aharan {A}frica's population from remote sensing images and land cover mapping ?},
  author = {{A}rtadji, {A}ttoumane and {L}ipovac, {L}. and {A}ndriamanantena, {N}. and {R}ousse, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}onitoring population densities and distribution from afar is a dream almost come true. {K}nowing 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. {I}t 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.},
  keywords = {{BRESIL} ; {AFRIQUE} {SUBSAHARIENNE} ; {COTE} {D}'{IVOIRE} ; {REPUBLIQUE} {DEMOCRATIQUE} {DU} {CONGO}},
  booktitle = {{D}igressions},
  numero = {},
  pages = {186--194},
  address = {{M}arseille},
  publisher = {{LPED}},
  series = {{L}es {I}mpromptus du {LPED}},
  year = {2024},
  ISBN = {979-10-96763-15-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093022},
}