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This study develops a machine learning-based method for mapping cashew orchards in Cantanhez National Park, Guinea-Bissau, using Sentinel-2 satellite imagery. The approach successfully distinguishes cashew orchards from forests with an accuracy of 82.54%, addressing the challenge of monitoring deforestation in a region where agricultural expansion threatens biodiversity. The findings provide a foundation for systematic land cover monitoring and sustainable management of natural resources in Guinea-Bissau.

Author

lablanchetossia

Language

EN