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Theory session 2: Sensors and imaging data

• Sensors types, sensors data, applications;
• Sensors integration in the platform;
• Image streaming, pre-processing and processing steps

Demo 3: Demonstration of different camera setups

• RGB and Multispectral camera
• Hyperspectral camera
• Thermal camera
• Lidar scanner

Hands-on 2: Data processing

• Student applies theory to process the data of previous collected data.
• How do processing pipelines change with these different setups?
  • compare accuracy between RTK drone vs GCP solution vs direct georeferencing
  • Calculate number of flights to cover 1km2 with fixed wing vs multicopter
• Discussion on different results between the groups

Lunch Break

Theory session 3: Ground truth measurements

• Scene description – drawing, samples, photos
• Geo positioning – methods and GPS
• Spectral calibration – methods and spectrometer
• Light and atmosphere – methods, clouds and sensors

Demo 4: Ground truth – rotation between small 4 groups

• Scene description
• Geo-positioning
• Spectral calibration
• Light and atmosphere

Hands on 3: preparation of the field campaign

• Tasks and goals
• Responsibilities
• Equipment
• Timing

A lunch break will be scheduled depending on the course of the day

Hands on 4: Validation of materials, description, calibration

Demo 5: Field campaign

• Data collection of VHR RGB, TIR and hyperspectral data over urban and agriculture areas using Fixed wing Drone and multicopter
• Collection of ground truth data

Hands on 5: Data handling and summary

• Data distribution
• Archiving of the data
• Summary
• Wrap up