The price is for a group of up to 4 students. 1. Introduction & Learning Objectives Overview of Methane Detection: Why methane matters (safety, environmental impact, regulatory compliance) Course Goals: Understand sensor operation and limitations Assemble and deploy a drone-mounted detection system Plan safe, efficient flights over different asset types Interpret and report methane concentration data 2. Basics of Methane Detection with a Methane Sensor Sensor Technology & Specifications Types of sensors (TDLAS, OGI) Key performance metrics: detection range, sensitivity, response time Calibration & Zeroing Procedures Factory vs. field calibration Performing a “zero‐air” check before each flight Environmental Influences Temperature and pressure effects on readings Cross-sensitivity to other gases (e.g., water vapor, CO₂) 3. Assembling the Drone-Based System Airframe Selection & Payload Integration Matching sensor weight and size to drone lift capacity Vibration dampening mounts and cable routing Power & Data Connections Power supply considerations (voltage, current draw, flight duration) Data logging: onboard recorder vs. real-time telemetry Pre-Flight Checklist Mechanical inspection (propellers, mounts, wiring) Sensor warm-up and system boot-up Hands-On Workshop Step-by-step assembly of a live system Verifying sensor live-feed on ground station 4. Flight Planning Fundamentals for Areas Mission Profiles Pipeline, plants, landfills or corridor scans Route Design Defining start/end points and waypoints in your GCS Altitude selection for optimal plume detection Overlap & Resolution Lateral overlap (30–50%) to avoid gaps Ground sampling distance vs. plume width Airspace & Permission Checking NOTAMs and airspace restrictions Coordinating with asset operators Simulation & Dry Run Verifying the route in software before live flights 5. Flight Planning Fundamentals for Area Grid vs. Spiral Patterns When to use rectangular grids vs. concentric spirals Altitude & Speed Trade-Offs Higher altitude for larger coverage, lower for sensitivity Adjusting airspeed to balance flight time and data quality Battery Management Segmenting large areas into multiple flights Safe landing and battery swap procedures Safety Margins Maintaining buffer zones around obstacles and no-fly areas 6. Taking Weather into Account Wind Impact on plume dispersion and GPS accuracy Flight path adjustments for headwinds/tailwinds Precipitation & Humidity Sensor vulnerability to moisture Postponing flights during rain or heavy fog Snow & Ice Cold-weather battery performance Ice accumulation risks on props and sensor inlets Sunlight & Thermal Currents Early morning vs. afternoon thermals Sun angle effects on plume visualization 7. Processing the Collected Data Data Download & Organization File formats (CSV, GeoTIFF, KML) Data Cleaning Removing outliers and spikes Analysis & Visualization Heat-map generation in GIS software Time-series plots of concentration vs. distance Reporting & Compliance Generating summary reports (PDF/Excel) Highlighting exceedances and areas of concern Hands-On Lab Processing a sample flight dataset from start to finish