Delineation of Cocoa Agroforests Using Multi-spectral optical image of RapidEye
World Agroforestry - Research Data Repository Dataverse OAI Archive
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Title |
Delineation of Cocoa Agroforests Using Multi-spectral optical image of RapidEye
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Identifier |
https://doi.org/10.34725/DVN/ICQNZT
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Creator |
Numbisi, Frederick N.
Van Coillie, Frieke M.B. De Wulf, Robert |
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Publisher |
World Agroforestry - Research Data Repository
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Description |
The 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. |
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Subject |
Agricultural Sciences
Earth and Environmental Sciences Mapping Perennials Agroforestry RapidEye Multi-spectral image Random Forest Algorithm Vegetation indices |
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Contributor |
Nkeumoe, Frederick
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