Delineation of Cocoa Agroforests Using Multi-spectral optical image of RapidEye

This dataset was moved to: doi.org main aim of the study was to discriminate cocoa agroforest from transition forest cover using a multi-spectral optical image of RapidEye, which was recorded in January 2015. The data consist pre-processed image stack of the Top of Atmosphere (ToA) reflectances for the five (5) spectral bands: Blue, Green, Red, RedEdge and Near-infrared image bands. Field inventory was conducted from 2015 to 2017 to map cocoa agroforests and other vegetation and non-vegetation land cover. in the forest-savannah transition landscape in Bokito, Centre Cameroon. The dataset consists of geospatial data (shapefiles) of the land cover and land use in the study landscape.