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

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 2...

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Bibliographic Details
Main Authors: Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad, Fahad Shahzad, Qijing Liu, Waseem Razzaq Khan, Mansour Shrahili, Mohammad Javed Ansari, Timothy Dube
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Ecology and Evolution
Subjects:
afforestation
land‐use change
machine learning
NDVI
remote sensing
Sentinel‐2
Online Access:https://doi.org/10.1002/ece3.70736
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https://doi.org/10.1002/ece3.70736

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