Open access
Aug 2026
Machine Learning-Based Estimation of Surface PM2.5 in Nigeria Using Integration of Satellite, Ground Observations and Reanalysis Data
It is demonstrated that multi-source machine learning data fusion substantially improves surface PM2.5 estimation over Nigeria with scalable framework and identifies relative humidity as the dominant predictor, followed by MERRA-2 PM2.5.
M. Sani, Anass Houdou, R. Sa'id
· FUDMA Journal of Sciences · 0 citations