This analysis investigates the impact of climate-related shocks on social protection beneficiaries in Ghana. By examining long-term changes in soil surface moisture, a key proxy for precipitation and agricultural drought, the project aims to identify regions with increasing vulnerability to climate change. This analysis is critical for designing effective social protection programs and climate adaptation policies that target the most at-risk populations. Methodology and Data To conduct this analysis, I utilized geospatial data and cloud-computing platforms: Data Source: The analysis relies on the GLDAS (Global Land Data Assimilation System) , a NASA-supported system providing reliable, long-term climate monitoring data. Analytical Tool: Google Earth Engine (GEE) was employed to process and analyze large-scale satellite data, mapping soil surface moisture across Ghana's districts from 2000. Visualizations: The analysis produced (1) a time-series animation illustrating monthly so...
Economics, Data Science, Consulting.