Each year thousands of people and millions of dollars in assets are affected by flooding in Senegal; over the next decade, the frequency of such extreme events is expected to increase.  However, no publicly available digital flood maps, except for a few aerial photos or post – disaster assessments from UNOSAT, could be found for the country. This report tested an experimental method for assessing the socio – physical vulnerability y of Senegal using high capacity remote sensing, machine learning, new social science, and community engagement.