Integrating remote sensing and machine learning to evaluate environmental drivers of post-fire vegetation recovery in the Mount Kenya forest

Abstract In recent decades, the increasing frequency and severity of wildfires have been linked to climate change and human activities. Understanding the dynamics of post-fire vegetation recovery (PVR) is therefore critical for forest ecosystem restoration and management. The present study analysed...

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Principais autores:	Loventa Anyango Otieno, Terry Amolo Otieno, Brian Rotich, Katharina Löhr, Harison Kiplagat Kipkulei
Formato:	Artigo
Idioma:	Inglês
Publicado:	Springer 2025-07-01
Series:	Discover Geoscience
Assuntos:	Post-fire vegetation recovery (PVR) Land surface temperature Burn severity Random forest model Remote sensing Mount Kenya forest ecosystem
Acceso en liña:	https://doi.org/10.1007/s44288-025-00196-5
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