Library Resource
mai, 2012
Rwanda
In this study, maximum likelihood supervised classification and post-classification change detection techniques were applied to cloud-free Landsat mosaic scenes formed for three years, 1987, 2001 and 2010, to map land cover changes in the Lake Kivu region in Central Africa. A supervised classification was carried out on the stacked vector of six reflective bands and two vegetation index images for the three years individually with the aid of ground data. Since ground data was not available for 1987, visual interpretation was used to aid supervised classification.