PreciousIsrael/Fall-Armyworm-Analysis

Data analysis was done to determine the susceptibility of fall armyworm in Nigeria **Fall Armyworm Susceptibility Mapping (Nigeria)** Overview This project uses Google Earth Engine to map the susceptibility of Fall Armyworm (FAW) across Nigeria using environmental and climatic variables. Methodology A multi-criteria evaluation approach was applied using: • Remote sensing data • Soil datasets (iSDAsoil) • Climate datasets (FLDAS, ERA5) • NDVI from Sentinel-2 The Analytic Hierarchy Process (AHP) was used to assign weights to each factor. Parameters Used • Surface Radiative Temperature • Soil Moisture • Vegetation Type (Leaf Area Index) • Net Thermal Radiation • Aluminium Content • Nitrogen Content • NDVI • Precipitation Rate Tools & Technologies • Google Earth Engine • JavaScript • QGIS (for visualization/export) Output • FAW susceptibility map (Nigeria) • Values range from 0 (low suitability) to 1 (high suitability) Author Precious Israel Notes • Some soil datasets are static (2001–2017) • NDVI computed from Sentinel-2 imagery