Big data plays a crucial role in collecting and aggregating vast amounts of data from various sources relevant to natural disasters.
Big data analytics can be applied to historical and real-time data to develop early warning systems for natural disasters.
Big data analytics can process large volumes of weather data from sources such as satellites, radar, and weather stations to forecast weather.
Weather forecasting plays a critical role in predicting severe weather events like hurricanes, tornadoes, and floods.
AI models can be created using historical data on natural disasters to predict the likelihood and intensity of future disasters.
By analysing historical, geographical, and socio-economic data, big data can possibly identify vulnerable regions.
Big data analytics can optimize the allocation of resources during and after natural disasters.
Overall, big data plays a crucial role in leveraging data-driven insights and enhancing disaster prediction capabilities.