Course Introduction

Public works authorities manage large and complex infrastructure assets that require frequent inspection to ensure safety, compliance, and operational reliability. Traditional inspection methods are often costly, time-consuming, and expose personnel to risks.

This course introduces advanced drone and remote sensing technologies that enhance inspection accuracy, reduce risk exposure, improve data collection quality, and support predictive asset management across roads, bridges, utilities, and infrastructure networks.

Course Objectives

Participants will be able to:

• Design structured drone-based inspection programs
• Apply remote sensing technologies in infrastructure assessment
• Improve inspection accuracy and safety
• Integrate aerial data into asset management systems
• Support predictive maintenance and lifecycle planning

Course Outline (5 Training Days)

Day 1: Drone Inspection Fundamentals

• Types of drones and inspection sensors
• Regulatory and aviation compliance
• Risk assessment and safety planning
• Infrastructure inspection use cases
• Field deployment methodologies

Day 2: Remote Sensing Technologies

• Thermal imaging applications
• LiDAR and 3D mapping techniques
• High-resolution aerial photography
• Data capture planning
• Quality assurance procedures

Day 3: Data Processing & Analysis

• Image processing workflows
• Defect detection methodologies
• Structural anomaly identification
• GIS integration techniques
• Reporting and visualization tools

Day 4: Integration with Asset Management Systems

• Linking inspection outputs to asset databases
• Predictive analytics applications
• Workflow automation
• Performance tracking
• Contractor coordination

Day 5: Strategic Implementation & Governance

• Program planning and scalability
• Cost-benefit evaluation
• Governance and compliance
• Lessons learned from real projects
• Strategic deployment roadmap