Using satellite images and soil data, the researchers in Nigeria used a method called the Soil Conservation Service curve number to predict flood risk in the Opa watershed. They found that urban areas with higher curve numbers are more likely to have greater runoff potential, meaning they're at higher risk of flooding. In contrast, areas with lower curve numbers, like vegetated regions, have lower runoff potential and are less likely to flood. Specifically, the urban sub-watershed 9 was identified as having the highest runoff potential, while the vegetated sub-watershed 10 had the lowest. This method could help predict flooding and manage water resources better in urban areas, reducing the risk of disasters.