Vegetation and Socioeconomic Shifts by Rye Zupancis

Vegetation indices derived from satellite flyover data tend to correlate with GDP, particularly in agrarian economies. This analysis explores the linkages between agricultural policymaking, land usage patterns/vegetation shifts, and economic output in sub-Saharan Africa. By aggregating thousands of sequential satellite measurements taken by Landsat 5, 7, and 8 between 1990 and present-day, this study constructs a normalized difference vegetation index (NDVI) using Google Earth Engine servers. Agricultural classification and geospatial masking are specified by the author.