An AI-Enabled Framework for Real-Time Generation of News Articles Based on Big EO Data for Disaster Reporting

In the field of journalism, collection and processing information from different heterogeneous sources are difficult time-consuming processes. context theory journalism 3.0, where multimedia data can be extracted on web, possibility creating a tool for exploitation Earth observation (EO) data, especially images by professionals belonging to is explored. With production massive volumes EO image problem their dissemination public, specifically, in media industry, arises. particular, satellite existing tools who not familiar with processing. this scope, article presents new innovative platform that automates some journalistic practices. This includes several mechanisms allowing users early detect receive about breaking news real-time, retrieve Sentinel-2 upon request certain event, automatically generate personalized according writing style author. Through platform, journalists or editors also make any modifications generated before publishing. an added-value only industry but freelancers writers use articles.