Discover how organizations use ArcGIS to monitor vegetation and infrastructure in real time, from helicopter operations to smart agriculture. Learn how GIS, dashboards, and Imagery Analytics drive safer operations, efficient resource use, and better field, data-driven decisions.
Detailed Agenda
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Advanced Imagery Analytics for Smarter Vegetation and Agriculture Management
- Wednesday, 15 Apr14:45 - 15:45 CEST(12:45 - 13:45 GMT)Spektrum 1 | C2 Congress Center
Presentations
- Smart Vegetation Management: LiDAR Enhancing Power Transmission ReliabilityAXIA’s Vegetation Management System (SGV) is a digital solution to mitigate risks to power transmission assets caused by vegetation interference. The system integrates LiDAR, drones and satellite imagery to generate high‑precision 3D models that measure the distance between vegetation and energized conductors. This predictive and preventive approach enables targeted maintenance, improves operational efficiency, enhances grid reliability and supports sustainable asset management in the electricity sector.
, AXIA Energia
- AI-Powered Ash Dieback Detection for Railway Infrastructure Risk ManagementIrish Rail manages 2,300km of railway corridors where ash dieback disease poses critical safety risks. Traditional manual surveys are time-consuming and inconsistent. We developed an AI classification system using ArcGIS Pro's deep learning framework to detect disease severity from drone imagery. The model analyzes spectral and structural patterns to classify trees across four severity levels, enabling prioritized interventions. This approach reduces survey time. The methodology demonstrates AI integration within ArcGIS and is transferable to other infrastructure operators.
, Irish Rail
Session Type: User Presentations
Session Level: All Attendees
Industry: Cross Sector
Topic: Imagery Management
