Floodfeatureswere analyzedandriskknowledge was examined in studies in selected river basins of Southeast Asia. Rainfall runoff features were analyzed in Indonesia’s Solo river basin and in the Philippines’ Pampanga and Cagayan river basins using ground-observed and satellite-based (GSMaP) rainfall data. Flood damage was assessed for risk management by considering physical damage to agricultural and household in the Cambodian ?ood plain of the Lower Mekong Basin and in the Philippines’s Pampanga river basin. A comparison of simulated andobservedrunoff hydrographs showedthat the accuracy of GSMaP rainfall in the Solo and Cagayan river basins in studied ?ood events was lower than in the Pampanga river basin case. In the Pampanga and Cagayan river basins, the density of rainfall station networks was below the WMO recommendation, and GSMaP rainfall data would be more effective in getting supplementary informationfor existing ?ood-forecasting systemsfor these river basins. Physical damage to households including residential assets and agricultural damage were estimated quantitatively based on ?ood features. The estimated value ofagriculturalandhousedamagewasfairlyconsistent with reported values. Reliable ?ood damage data are important for developing ?ood damage functions and for con?rming such estimation. Uncertainties associated with input data, model parameters, and damage information strongly in?uence the damage estimated. These uncertainties must be considered carefully in ?oodriskassessmentmodels.