Description: Introduction & Overview • Welcome and objectives • Introduction • Overview of Esri imagery’s role in modern geospatial workflows • Importance of high-precision data capture & integration Large-Scale Data Capture • Understanding large-scale data capture • The role of mobile lidar and drones in capturing extensive data sets • Integrating multiple data sources (ground-based, aerial, and mobile) • Mobile Lidar Overview • Use cases: transportation, urban planning, asset management
Drone LiDAR and Photogrammetry • Drone-based lidar vs. photogrammetry • Key differences, advantages and limitations • Processing workflows in ArcGIS • Esri tools for drone data • Site Scan for ArcGIS (data capture, processing and analysis) • Using ArcGIS Reality for 3D modeling
Oriented Imagery and Machine Learning • How oriented imagery enhances GIS workflows • Integrating street-level images and UAS datasets in ArcGIS • Feature extraction from imagery and lidar • Object detection and automated mapping with ArcGIS AI tools
Pavement Analysis and Drone Dock Integrations • Pavement Analysis with TBC and GIS • Data integration into ArcGIS • Drone docks and autonomous operations • Data integration into Esri
