Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project

ABSTRACT This study evaluates the Billion Tree Afforestation Project (BTAP) in Pakistan's Khyber Pakhtunkhwa (KPK) province using remote sensing and machine learning. Applying Random Forest (RF) classification to Sentinel‐2 imagery, we observed an increase in tree cover from 25.02% in 2015 to 29.99%...

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Auteurs principaux:	Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad, Fahad Shahzad, Qijing Liu, Waseem Razzaq Khan, Mansour Shrahili, Mohammad Javed Ansari, Timothy Dube
Format:	Artigo
Langue:	Inglês
Publié:	Wiley 2025-02-01
Collection:	Ecology and Evolution
Sujets:	afforestation land‐use change machine learning NDVI remote sensing Sentinel‐2
Accès en ligne:	https://doi.org/10.1002/ece3.70736
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