Transparent monitoring

Mapping the diversity of land uses following deforestation across Africa.

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This study provides the first high-resolution (5 m) continent-wide map of land-use following deforestation across Africa, covering humid and dry forests. Using deep learning and data from 30 countries, it identifies small-scale croplands as the dominant cause of forest loss, particularly in Madagascar and DRC. Commodity crops like cacao, oil palm, and rubber drive deforestation in western and central humid forests, while cashew expansion impacts dry forests in western and southeastern regions. These trends highlight challenges for zero deforestation goals and REDD+ initiatives.

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https://robertnag82.users.earthengine.app/view/africalu;

https://zenodo.org/records/11065705

Type:
Dimension:
Case Study:

Year

2024

Authors

Masolele, R.N.; Marcos, D.; De Sy, V. et al.

Language

English

Keywords

Attention U-Net, deep learning Planet-NICFI, Land-use following deforestation, deforestation drivers, remote sensing

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