Step 1: Mission Planning

  • Define the area to be mapped (range, obstacles, flight altitude).
  • Selecting a suitable drone (e.g., with an RGB or LiDAR camera).
  • Set mission parameters in software (e.g., overlapping, resolution, flight grid).

Step 2: Flight and data collection

  • The drone autonomously carries out the mission, taking hundreds of images or scans (if it’s LiDAR).
  • Depending on the purpose – it takes vertical (orthophoto) or oblique (for 3D models) photos.
  • GPS RTK/PPK increases the precision of recording the position of each image.

Step 3: Data processing

Photos are uploaded to the software.

It creates:

  • Orthophotomap – an aligned map of georeferenced images.
  • Point cloud – XYZ data of each point of the terrain.
  • Digital Terrain Model (DTM) or Surface Model (DSM).
  • 3D model – textured mesh.

Step 4: Measure, analyze and export data

  • Measurements of lengths, slopes, volumes (e.g., heaps), elevation profiles.
  • Export data to CAD/GIS (e.g. DXF, GeoTIFF, LAS).
  • Finished materials can go to the designer, investor or authority.

Why drones in topography?

Drones reduce survey time from days to hours. They allow rapid creation of orthophotos and 3D models, especially where access is difficult. They are cheaper, more accurate and safer than traditional methods.

Benefits for the operator and investor:

  • Time and cost savings: fewer employees, faster results, less risk.
  • High precision: measurement accuracy of up to a few cm thanks to GPS RTK and LiDAR.
  • Flexibility: ability to work in diverse and inaccessible terrain.

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Drone applications in surveying and engineering

  • Terrain mapping from the air – high-resolution images processed into orthophotos.
  • 3D models – realistic visualization of the area, ideal for investment planning.
  • Volumetric analysis – heaps, pits, cross sections.
  • Monitoring the progress of the work – quick verification of changes over time.

Challenges and the future

Challenges:

  • Regulations: urban flight restrictions and licensing requirements for operators.
  • Updating technology: the rapid development of hardware and software requires constant retraining.

What will the future bring?

  • Greater autonomy and integration with AI and ML – automated data analysis and design recommendations.
  • Better sensors and longer flight time.
  • Topography will become fully digital – from measurement to design and visualization.
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