This paper pursues a methodological objective, developing and validating a structured approach for the recognition of areas under the highest levels of drought risk, suitable for data-scarce environments. The approach is based on recent scienti c outcomes and methods and can be easily adapted to different contexts in subsequent exercises. The research reviews the history of hydro-meteorological drought in the south of Angola and characterizes the experienced hazard in the episode from 2012.