@incollection{fdi:010008430,
  title = {{R}emote sensing and {GIS} for land degradation assessment and land management in {G}hana},
  author = {{A}gurgo, {F}.{B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{C}ombined with ground observations, remote sensing and {GIS} could greatly enhance the inventory of soils and land cover over large areas by providing data of sufficient quality for large scale projects. {T}his paper seeks to demonstrate how these technologies have been successfully used in {G}hana to assess degraded lands within the {N}ation's {F}orest {R}eserves. {L}andsat {TM} bands 4,5,3 ({R},{G},{B}) are combined with digital maps to separate forest from non-forest. {D}egraded portions of the forest are then delineated and their areas digitally computed. {T}hese areas are then validated through ground checks to provide data for reforestation programs. ({R}{\'e}sum{\'e} d'auteur)},
  keywords = {{DEGRADATION} {DU} {SOL} ; {EVALUATION} ; {GESTION} {DE} {L}'{ENVIRONNEMENT} ; {TELEDETECTION} {SPATIALE} ; {SATELLITE} {LANDSAT} ; {SYSTEME} {D}'{INFORMATION} {GEOGRAPHIQUE} ; {PHOTOINTERPRETATION} ; {GHANA}},
  booktitle = {{S}urveillance des sols dans l'environnement par t{\'e}l{\'e}d{\'e}tection et syst{\`e}mes d'information g{\'e}ographiques = {M}onitoring soils in the environment with remote sensing and {GIS}},
  numero = {},
  pages = {517--522},
  address = {{P}aris},
  publisher = {{ORSTOM}},
  series = {{C}olloques et {S}{\'e}minaires},
  year = {1996},
  ISBN = {2-7099-1331-3},
  ISSN = {0767-2896},
  URL = {https://www.documentation.ird.fr/hor/fdi:010008430},
}