Drone Surveying and Image Processing Training Course

Participants can prepare a documented field operation that addresses aviation, site and crew risks.

• Risk assessment separates ground risk, air risk, and operational mitigations
• Local aviation rules, permissions, remote pilot responsibilities, and site authorisations reviewed
• Pre-flight checklists cover aircraft condition, firmware, batteries, payload, and communications
• Emergency procedures address lost link, flyaway, battery failure, and incursion
• Visual observer roles, crew briefings, and sterile-area controls documented
• Weather minima set using wind, precipitation, visibility, temperature, and solar conditions

Participants can design a control strategy and separate independent checkpoints for accuracy testing.

• GNSS error sources include satellite geometry, multipath, ionospheric delay, and datum errors
• RTK, PPK, and network RTK compared for field control strategies
• Ground control points placed for coverage, stability, visibility, and independent checking
• Checkpoints kept separate from control points for unbiased accuracy assessment
• Survey-grade coordinates recorded with point descriptions, photographs, and antenna-height metadata
• Vertical datums and geoid models managed before combining survey datasets

Participants can select an aircraft and payload configuration matched to project measurement requirements.

• Multirotor and fixed-wing platforms selected from area, terrain, endurance, and access
• RGB, multispectral, thermal, and LiDAR sensors matched to measurement requirements
• Camera calibration considers focal length, shutter type, distortion, and pixel size
• Rolling-shutter effects controlled through flight speed, overlap, and shutter settings
• Radiometric calibration panels and sunshine sensors support repeatable multispectral measurements
• Payload mounting, focus, exposure, and storage settings checked before acquisition

Participants can configure a mapping mission that achieves required coverage, resolution and terrain clearance.

• Ground sampling distance calculated from sensor geometry, altitude, and focal length
• Forward and sidelap set for terrain relief, texture, and reconstruction reliability
• Terrain-following plans maintain target resolution across variable elevations
• Flight lines oriented for wind, sun angle, obstructions, and survey geometry
• Mission polygons, exclusion zones, take-off sites, and contingency landings configured
• Battery cycles and sortie sequencing planned against payload and environmental loads
• Pre-mission simulation tests coverage, duration, terrain clearance, and signal limits

Participants can conduct controlled image acquisition and preserve complete, traceable survey data.

• Site reconnaissance confirms control access, hazards, radio interference, and public exposure
• Field logs capture mission identifiers, camera settings, weather, and anomalies
• Image acquisition verifies exposure consistency, overlap, focus, and motion blur
• Control measurements checked against coordinate records before leaving the site
• Data cards duplicated using structured folders, checksums, and chain-of-custody records
• Post-flight review identifies gaps, failed images, and reflight requirements

Participants can process drone imagery into georeferenced point clouds, models and orthomosaics.

• Image quality screening removes blurred, overexposed, duplicate, and unsuitable frames
• Structure-from-motion alignment estimates camera positions and sparse point clouds
• Bundle adjustment refines camera parameters, tie points, and reprojection error
• Ground control coordinates imported with correct coordinate reference system labels
• Dense point clouds filtered for noise, water artefacts, and moving objects
• Digital surface and terrain models derived using classified point-cloud surfaces
• Orthomosaic generation applies orthorectification, seamlines, colour balancing, and resampling

Participants can analyse drone-derived rasters and create decision-ready GIS mapping products.

• Raster outputs inspected for extent, resolution, nodata values, and coordinate reference
• QGIS projects organise orthomosaics, elevation models, control points, and boundaries
• Raster calculator derives slope, aspect, hillshade, and elevation-difference surfaces
• Vector digitising extracts stockpiles, drainage features, assets, and disturbance areas
• Cut-and-fill volumes calculated from aligned surfaces and defined base levels
• Multispectral indices, including NDVI, interpreted with field context and limitations
• Map layouts include scale, north arrow, legend, sources, and accuracy statements

Participants can evaluate positional accuracy and document quality findings using independent evidence.

• ASPRS positional accuracy terminology distinguishes control, checkpoints, RMSE, and confidence
• Residuals and reprojection error reviewed without treating software reports as accuracy
• Checkpoint RMSE calculated separately for horizontal and vertical coordinate components
• Error budgets trace contributions from control, sensor, geometry, processing, and terrain
• Completeness checks identify missing coverage, voids, edge artefacts, and invalid pixels
• Metadata records acquisition parameters, processing settings, coordinate systems, and limitations
• Acceptance report states achieved accuracy, exclusions, quality findings, and corrective actions

Participants can package drone survey outputs for secure handover and plan their use in operations.

• Deliverable specifications define file formats, tiling, compression, naming, and coordinate systems
• GeoTIFF, LAS, LAZ, GeoPackage, and PDF outputs selected for recipient workflows
• Data governance addresses retention, access control, sensitive imagery, and audit trails
• Client handover packages include metadata, processing reports, maps, and source-data inventories
• Change detection comparisons document alignment, dates, thresholds, and interpretation limits
• Application plan prioritises one operational use case, controls, and measurable acceptance criteria