GeoAIAgent-Agentic workflow for automated geospatial data management

Interaction with geospatial data requires domain specific knowledge and tools to access and process data from remote sensing, surveys and Internet-of Things objects. To overcome the data processing challenge, we propose an agentic framework based on prompting a Large Language Model to initiate geospatial processing, like filtering vector data and automatically discovering and cropping raster data. Furthermore, the agentic framework can access in real time a Geospatial Foundation Model library and run finetuning/inference for the area of interest. The generated geospatial images are returned to the user through the prompt, and integration of a visual Language model enables image captioning and description in order to better describe the geospatial data. The proposed framework orchestrates multiple agents in the background to seamlessly retrieve vector and raster data for the area of interest and distill complex data in readily usable information.