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.