Undergraduate researchers from Argentina’s Universidad Nacional del Nordeste studied the effects of human-induced land-use changes on flood patterns in the Coronel Mollinedo Basin, Salta. Using EOSDA LandViewer, they analyzed satellite data from 1968 to 2018 to assess vegetation loss and land cover changes. By calculating the Curve Number (CN), a measure of runoff potential, and applying both supervised and unsupervised classification methods, the team mapped changes in vegetation and soil moisture. Results showed a steady increase in CN values over time, indicating greater flood risk. The study linked these changes to more frequent and severe flooding, impacting critical infrastructure such as roads and railways.