Lowlands Mapping in Forest Guinea

S. Saïdi, A. Camara, L. Gazull, M. Passouant and M. Soumaré
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S. Saïdi: Territoires, Environnement, Télédétection et Information Spatiale (CIRAD/UMR TETIS), Montpellier Cedex 5, France
A. Camara: Institut de Recherche Agronomique de Guinée, Conakry, Guinea
L. Gazull: Territoires, Environnement, Télédétection et Information Spatiale (CIRAD/UMR TETIS), Montpellier Cedex 5, France
M. Passouant: Environnement, Télédétection et Information Spatiale (CIRAD/UMR TETIS), Montpellier Cedex 5, France
M. Soumaré: Institut d’Economie Rurale (IER), Sotuba, Bamako, Mali

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2013, vol. 4, issue 1, 20-34

Abstract: This article presents a lowland mapping method for the Forested Guinea (Guinée Forestière) using a 30 m resolution Digital Elevation Model (DEM) that is currently the best option to analyze large forested areas. This low cost DEM method applies surface topography analysis processes to better discriminate areas with stagnant and/or accumulated water. The main index selected is the immediate proximity of flat areas to drainage network, the former with slope gradients not exceeding 5% (2.86°). The mapped lowlands potential cover a surface of 4516 km2, i.e., 10% of the total area of the region with hydro-agricultural potential.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:4:y:2013:i:1:p:20-34

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