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Bright Wiredu Nuakoh

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Articles

A machine learning model for early season wildfire risk in Ghana’s Guinea savannah assessing discrimination, operational prevalence, spatial transferability, and CMIP6 climate scenarios

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By Stephen Bradshaw, Wallelgn Melese Tema, Emet Arya, Bright Wiredu Nuakoh, Yaw Kwaafo Awuah-Mensah, Francky Fouedjio, Ebenezer Afrifa-Yamoah
| Nature Verified
Abstract Tropical savannas account for most of the world’s burned area, and West Africa is a centre of both current fire activity and projected future risk, yet the northern Guinea Savannah of Ghana still lacks a locally calibrated early season fire risk tool.
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