 This study evaluated the accuracy of Landsat-8 satellite imagery for mapping tree canopy cover, TCC, and above-ground biomass AGB in a woodland area in Burkina Faso. The study found that multi-temporal imagery and variable selection produced the most accurate results when creating models for both TCC and AGB. The models had coefficients of determination of 0.77 for TCC, root mean square error equals 8.9%, and 0.57 for AGB, root mean square error equals 17.6 tons per hectare. These results suggest that this method could be applied to other woodlands with sufficient reference data. This article was authored by Martin Carlson, Madeline Ostwald, Heather Reese, and others.