Supplementary Data — Multisource Earth Observation–Driven Hybrid Machine Learning Framework for Agricultural Sustainability Monitoring: Evidence from Northern Ghana

This dataset contains supplementary tabular outputs supporting the study:“Multisource Earth Observation–Driven Hybrid Machine Learning Framework for Agricultural Sustainability Monitoring: Evidence from Northern Ghana.” Files include:- Independent test samples with reference labels and model predictions- Area-by-class summary statistics Derived from Sentinel-1, Sentinel-2 SR Harmonized, and Dynamic World data processed in Google Earth Engine.