Everything you need to know for the Fugro Aerial Sensor Operator role โ from GNSS constellation basics to LiDAR point cloud acquisition, flight planning, and data quality assurance.
An Aerial Sensor Operator manages geospatial data acquisition systems mounted on aircraft, UAVs, or other platforms. You ensure sensors capture high-quality data for mapping, surveying, and inspection.
Operate and monitor LiDAR, photogrammetry, thermal, and multispectral sensors during flight operations. Calibrate instruments pre-flight and verify data quality in real-time.
Core SkillUnderstand GPS, GLONASS, Galileo, and BeiDou constellations. Monitor RTK/PPK corrections, baseline solutions, and positional accuracy throughout missions.
CriticalPlan flight lines, calculate overlap requirements, manage altitude vs GSD trade-offs, and coordinate with pilots for optimal acquisition conditions.
OperationalGlobal Navigation Satellite Systems are the backbone of aerial surveying. Without accurate positioning, your sensor data is just a pretty picture with no spatial reference.
Learn the four major GNSS systems, their orbital characteristics, and how multi-constellation receivers improve availability and accuracy.
Understand L1, L2, L5 frequencies, code vs carrier phase, and why dual-frequency receivers are essential for cm-level accuracy.
RTK, PPK, SBAS, and PPP โ learn which correction method to use for your mission and how base-rover setups work.
| System | Operator | Satellites | Orbit | Coverage | Civilian Signal |
|---|---|---|---|---|---|
| GPS | USA (DoD) | 31+ | 20,200 km | Global | L1 C/A, L2C, L5 |
| GLONASS | Russia | 24+ | 19,100 km | Global | L1OF, L2OF |
| Galileo | EU (ESA) | 30 (planned) | 23,222 km | Global | E1, E5a, E5b, E6 |
| BeiDou | China | 35+ | 21,500 km | Global (BDS-3) | B1I, B2I, B3I |
| NavIC | India | 7 | 36,000 km | Regional | L5, S-band |
| QZSS | Japan | 4+ | 32,000 km | Regional | L1, L2, L5 |
DOP measures the geometric strength of satellite configuration. Lower DOP = better accuracy. Key types:
Rule of thumb: PDOP < 3 is excellent, 3-5 is good, 5-10 is marginal, >10 is poor. For aerial surveying, always aim for PDOP < 3 during acquisition.
RTK (Real-Time Kinematic): Corrections applied in real-time via radio or cellular link. Requires continuous base station communication. Great for live quality monitoring but depends on radio link reliability.
PPK (Post-Processed Kinematic): Raw observations logged on rover and base, processed after flight. No real-time radio link needed. More robust for aerial work since you don't need to maintain radio contact with a moving aircraft.
For Aerial Surveying: PPK is generally preferred because:
A base station is a GNSS receiver at a known location that logs satellite observations. It provides the reference data needed to calculate cm-accurate positions for your mobile (rover) receiver.
How it works: Both base and rover see the same satellites. By comparing the rover's observations to the base's known position, error sources (ionosphere, troposphere, satellite clock errors) can be modeled and removed.
Base station requirements:
Raw GNSS positions are in WGS84 (a global datum). But your survey project probably uses a local CRS. Understanding transforms is critical.
Common CRS types:
Key point: Australia moves ~7 cm/year north-east due to plate tectonics. GDA2020 is fixed to the Australian plate, while WGS84/ITRF are global. For cm-accurate work, you must account for this difference using ATRF (Australian Terrestrial Reference Frame) transformations.
Modern aerial survey platforms combine multiple sensor types. Understanding each sensor's principles, limitations, and data products is essential.
Overlapping aerial images processed into orthomosaics, DSMs, and 3D point clouds. Requires 60-80% forward overlap and 20-40% side overlap. Key parameters: GSD, focal length, sensor size, and flight altitude.
PrimaryActive laser ranging system emitting 100,000+ pulses/second. Measures time-of-flight to generate dense 3D point clouds. Penetrates vegetation canopy. Key specs: pulse rate, scan angle, beam divergence, and multiple returns.
AdvancedDetects infrared radiation to measure surface temperature. Used for heat loss detection, solar panel inspection, and environmental monitoring. Requires temperature calibration and emissivity knowledge.
SpecialistCaptures specific wavelength bands (Blue, Green, Red, Red Edge, NIR). Used for vegetation health (NDVI), crop monitoring, and environmental assessment. Each band has specific applications.
AgricultureCaptures continuous narrow bands across the electromagnetic spectrum. Enables material identification and mineral mapping. Data volume is massive โ requires significant processing.
ResearchActive microwave imaging that works day/night and through clouds. Uses platform motion to synthesize a larger antenna. Complex processing but invaluable for all-weather operations.
AdvancedA systematic approach to mission planning ensures complete coverage, optimal data quality, and safe operations.
Define project requirements (accuracy, GSD, deliverables). Check NOTAMs and weather. Verify base station setup. Calibrate sensors and IMU. Program flight lines with appropriate overlap.
Monitor GNSS fix status, PDOP, and satellite count. Verify sensor operation and data logging. Maintain constant altitude and airspeed. Watch for data gaps or quality issues in real-time.
Download and verify data completeness. Process GNSS (PPK/RTK). QC point cloud density and coverage. Generate deliverables. Archive raw data with metadata.
# Ground Sample Distance (GSD) calculation GSD = (sensor_pixel_size ร flight_altitude) / focal_length # Example: 3.9 ยตm pixels, 1000m altitude, 35mm lens GSD = (0.0039 mm ร 1,000,000 mm) / 35 mm = 111.4 mm/pixel # Photo scale Scale = focal_length / flight_altitude # Forward overlap distance Forward_overlap = image_ground_height ร overlap_percentage # Flight line spacing (side overlap) Line_spacing = image_ground_width ร (1 - side_overlap_percent) # Number of flight lines Lines = ceil(project_width / line_spacing) + 1
Use this checklist before every mission. Missing one item can compromise an entire flight.
โ Flight authorization & NOTAMs checked
โ Weather forecast reviewed (wind, cloud, visibility)
โ Mission parameters confirmed (GSD, overlap, altitude)
โ Emergency procedures briefed
โ Client deliverables understood
โ Base station position verified
โ Base logging at correct rate
โ Rover antenna checked (no obstructions)
โ Satellite visibility confirmed (>6 sats, PDOP <3)
โ Correction link tested (if RTK)
โ Sensor power and connections verified
โ Calibration values loaded (boresight, lever arm)
โ Storage capacity confirmed
โ Test capture completed
โ Data logging started and timestamp verified
โ Fuel / battery sufficient for mission + reserve
โ Weight and balance within limits
โ Flight control surfaces checked
โ Communication equipment tested
โ Emergency equipment on board
โ Storage media formatted and tested
โ Backup storage available
โ File naming convention confirmed
โ Metadata template ready
โ Post-processing software licensed
โ PPE available (high-vis, hard hat if needed)
โ Sun protection and hydration
โ Mobile phone charged
โ Site contact details saved
โ First aid kit accessible