Delineation of Cocoa Agroforests Using Multi-Season Sentinel-1 SAR Images
World Agroforestry - Research Data Repository Dataverse OAI Archive
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Title |
Delineation of Cocoa Agroforests Using Multi-Season Sentinel-1 SAR Images
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Identifier |
https://doi.org/10.34725/DVN/TAXJAU
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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 data is based on field inventory from 2015 to 2017 to map cocoa agroforests and other vegetation and non-vegetation land cover. The main aim of the study was to discriminate cocoa agroforest from transition forest cover using SAR (Synthetic Aperture Radar) images of Sentinel-1. The dataset consists of geospatial data of the land cover and land use in the forest-savannah transition landscape in Bokito, Centre Cameroon. |
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Subject |
Agricultural Sciences
Earth and Environmental Sciences Perennial Agroforestry Mapping Sentinel-1 SAR Random Forest Algorithm Congo Basin Rainforest Cocoa Mapping |
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Contributor |
Nkeumoe, Frederick
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