A Review of Biomass Estimation Methods for Forest Ecosystems in Kenya: Techniques, Challenges, and Future Perspectives

Accurate forest biomass estimation is essential for quantifying carbon stocks, guiding sustainable forest management, and informing climate change mitigation strategies. Kenya’s forests are diverse, ranging from Afromontane and mangrove ecosystems to dryland woodlands and plantations, each presentin...

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Auteurs principaux:	Hamisi Tsama Mkuzi, Caleb Melenya Ocansey, Justin Maghanga, Miklós Gulyás, Károly Penksza, Szilárd Szentes, Erika Michéli, Márta Fuchs, Norbert Boros
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-09-01
Collection:	Land
Sujets:	biomass estimation remote sensing machine learning carbon sequestration Kenya forests forest cover
Accès en ligne:	https://www.mdpi.com/2073-445X/14/9/1873
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