EarthSearch will allow end users to express questions in natural language on Images e.g “Wildfire in Corsica, Urban zones in Italy, Roads in Ivory Coast” and get either a text response or an imagery response as in example hereafter
The use of language processing as an interface between the user and the system for searching or extracting information from images is one of the keys to the broad adoption of the system. This will allow users even without knowledge of EO to perform complex semantic searches. In a second time, queries could also be performed on temporal series of images, allowing for change monitoring. QWANT search engine could be the entry point for any kind of users looking for EO data and services. It implies indexing the specific domain of EO data. SnapEarth, in its aggregator role, is the best candidate for indexing this large catalogue of services and data.