As population and urbanization rates increase across the globe so does human exposure to extreme events and natural hazards. These so-called “populations at risk” emerge as a function of their location within a certain geography either through choice or due to policies. To effectively address pressing issues, that we face as a society today such as environmental justice and social equality, an essential requirement is that we understand how specific neighborhoods are at increased risk due to government policies, accessibility, and current and future climate stressors.
This session invites papers which advance the identification of population and communities at risk using a multi-modal approach where socioeconomic indicators can be generated from a variety of sources such census, surveys, digital trace data sources (e.g. social media, mobility measures) as well as information and data derived through the exploitation of earth observation data (e.g. building outlines, settlement patterns, night time lights).