Humanitarian Innovation @ Direct Relief | AI, Data Science, Program Design, GIS Analysis
New situation report from the @CrisisReady team on the flooding in #Brazil. (https://lnkd.in/gZqTarTn) ❗Record levels of flooding, driven by heavy rainfall and storms, continues to severely affect the state of Rio Grande do Sul in southern Brazil. As of May 13th, the death toll from these storms is 143 and over 327,000 people have been displaced from their homes. 👉 Significant population declines and returns have been detected across 54 of 105 districts within and nearby the areas of greatest flooding impact, based on data from Meta. Key mobility trends across the region are detailed in the "Movement" section of this report. Data from the Facebook platform on population is based on a high sample size (-17%) of the total population in Rio Grande do Sul. Baseline district level Facebook population is highly correlated with Brazil's census population, with a R2 value of 0.98. 🛰️ Remote sensing from EU Copernicus shows areas of riverine flooding across Rio Grande do Sul. Image data has been merged into a single time-frame for the purpose of understanding overall flooding impacts across the entire duration of these events. Direct Relief Harvard Data Science Initiative ReliefWeb
