Esri’s GeoAI capabilities fuse advanced machine learning, deep learning, and spatial analysis to automate feature extraction and accelerate insight generation across imagery, video, point clouds, text, and other geospatial data sources. By integrating pretrained models, configurable geoprocessing tools, and extensible Python APIs, ArcGIS empowers users to rapidly transform raw sensor data into actionable information. These capabilities now extend directly into field workflows through Survey123’s computer vision integration, image classification and feature detection to validate field observations, streamline QA/QC, and enrich survey data collection with automated intelligence.
Building on advancements in large language models, Esri is enhancing GeoAI with natural-language-driven analysis and intelligent assistants that help users discover data, generate workflows, and interact with GIS more intuitively. LLM-powered text AI complements traditional feature extraction by enabling semantic understanding of unstructured content while Survey123’s vision-based automation strengthens the connection between field capture and enterprise analysis. Together, these innovations make spatial AI more accessible, scalable, and efficient by unlocking new levels of productivity for analysts, field crews, and decision-makers across industries.
Ryan Richardson is a GIS professional with a passion for using technology to solve complex problems. He currently works as a Solution Engineer at Esri, supporting the State and Local Government team out of Esri's regional office in Olympia, WA. Additionally, he is a FAA Part 107 UAV... Read More →
This workshop provides a practical, end-to-end overview of using unmanned aerial systems (UAS) with Esri Site Scan to capture, process, and deliver high-value geospatial data. Participants will learn how drone-collected imagery and reality capture products integrate directly into the Esri ecosystem to support mapping, analysis, and decision-making workflows. The session will cover core concepts of drone operations, data collection best practices, and how Site Scan streamlines flight planning, data management, processing, and collaboration. Emphasis will be placed on turning raw aerial data into actionable GIS deliverables such as orthomosaics, digital surface models, point clouds, and 3D content that can be shared across teams. Attendees will gain insight into real-world use cases including surveying, construction monitoring, asset inspection, public safety, and infrastructure management. The workshop will also highlight accuracy considerations, operational efficiencies, and how organizations can scale drone programs while maintaining consistency and data quality. By the end of the workshop, participants will understand how to effectively connect drone workflows with Esri Site Scan to move from flight to finished GIS products faster, more efficiently, and with greater confidence.
