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triangulation and inclusion of uncertainties (Hewitson et al., ), or the meaningful involvement of stakeholders to project plausible future socioeconomic conditions through co-production (Jurgilevich et al., ). Recent innovations in risk assessment include the integration of behaviour into risk assessments (Aerts et al., 2018b913) as well as vulnerabilities related to cascading events . Exposure assessment is frequently based on census data, which is Amazing welcome-ish did you call first all over print doormatavailable at coarse resolutions. However, new technologies (e.g., drones and mobile phone data) and more available satellite products provide new tools for exposure analysis. Exposure assessment is increasingly based on the combination of high resolution satellite imagery and spatio-temporal population modelling as well as improved quality of digital elevation models (DEM; Kulp and Strauss, ). This is used to understand better exposure to coastal flooding , diurnal differences in flood risk exposure (Smith et al., ), dynamic gridded population information for daily and seasonal differences in exposure (Renner et al., ), a combination of remotely-sensed and geospatial data with modelling for a gridded prediction of population density at ~100 m spatial

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