DA4DTE: Anagentic system for enhancing the accessibility of Digital Twins of Earth
Wepresent a new-generation, AI-agent-powered digital assistant featuring four specialized engines for satellite imagery: search byimage, searchbycaption, visual question answering, and knowledge graphquestion answering. At the core of the system is a Task Interpreter, designed as a multi-agent system, which coordinates these engines to address complex user requests for Earth observation data. The Task Interpreter comprises four agents: an Engine Routing Agent that selects the appropriate engine or rejects unmanageable requests; a Conversational Agent that handles general or out-of-scope queries; an Argument Extraction Agent that identifies image type parameters for retrieval tasks; and a Tool Feasibility Agent that assesses the applicability of tools for domain specific queries. This multi-agent system enables seamless interaction with Digital Twins of Earth, with an emphasis on modularity and extensibility to adapt to the rapid evolution of remote sensing technologies.
