Assessing rainfall-induced landslide risk in a humanitarian context: The Kutupalong Rohingya Camp in Cox's Bazar, Bangladesh

We have proposed a novel method for assessing landslide risk by applying cutting-edge geospatial technologies and combining hazard, exposure, vulnerability components. The Kutupalong Rohingya Camp (KRC) in Cox's Bazar, Bangladesh, was taken as case study area. district hosting over one million refugees from Myanmar, fleeing genocide crimes against humanity. Extensive vegetation removal, hill cutting, exceptionally dense camps, fragile shelters, unstable soils, excess monsoon rainfall were linked to yearly landslides. At first, ten factor maps produced, detailed fieldwork-based inventory conducted. Next, we applied various statistical knowledge-based approaches susceptibility modelling. most accurate map utilised produce hazard different return periods. used population shelter density data exposure mapping integrated age gender-based factors social analysis. combined the map. Finally, calculated shelters refugee populations at scenarios. 10 had highest value, historical events validated results. This is replicable similar context can be scaled up. It provides authentic information on disaster scenarios that should adopted decision-making process reduce future impacts of catastrophic hydrometeorological disasters KRC surrounding host community areas.