RTK (REAL-TIME KINEMATIC)
RTK is a satellite navigation technique that enhances GPS accuracy from meter-level to centimetre-level precision in real time. By using a fixed base station to correct drone GPS signals, RTK eliminates positional errors caused by atmospheric interference or satellite orbit discrepancies. This technology is critical for applications requiring pinpoint accuracy, such as land surveying, precision agriculture, and infrastructure alignment. For instance, in construction, RTK-enabled drones ensure accurate site grading or pipeline installation, reducing rework and costs.
Mapping
Drone mapping involves capturing aerial imagery or sensor data to generate georeferenced maps. Equipped with high-resolution cameras or multispectral sensors, drones create detailed topographic, thermal, or vegetation maps. These maps support disaster response, urban planning, and agricultural monitoring. Unlike traditional methods, drones cover vast areas quickly, even in hazardous environments, providing up-to-date insights for informed decision-making.
VOLUMETRIC ESTIMATION
Volumetric estimation uses drone-captured data to calculate the volume of stockpiles, excavations, or natural formations. By processing 3d models or point clouds, specialized software computes material quantities (e.g., gravel, ore) with minimal error. Industries like mining and waste management rely on this for inventory tracking, reducing manual measurement risks and improving operational transparency.
2D / 3D Modelling
Drones generate 2D orthomosaics for flat, accurate representations of terrain, ideal for cadastral mapping or site documentation. 3d models, created via photogrammetry or Lidar, add depth and context, enabling virtual site inspections, historical preservation, or flood simulation. Architects and engineers use these models for visualizations and clash detection, streamlining project workflows.
LiDAR Modelling
LiDAR (Light Detection and Ranging) employs laser pulses to measure distances, producing high-resolution 3D terrain models even through dense vegetation. Unlike photogrammetry, LiDAR excels in low-light or obstructed environments, making it invaluable for forestry management, archaeological surveys, and floodplain mapping. Its ability to penetrate foliage reveals ground features hidden to traditional methods.
Photogrammetry
Photogrammetry stitches overlapping aerial photos into coherent maps or models using software like Pix4d or DroneDeploy. It’s cost-effective for creating DSM (Digital Surface Models) or orthomosaics, widely used in real estate, solar farm planning, and erosion analysis. While less accurate than Lidar in complex terrain, it remains popular for its accessibility and rich visual output.
OLS Support
OLS (Operational Line Support) refers to drones aiding infrastructure inspections, particularly in energy sectors. Equipped with thermal or gas-detection sensors, drones inspect power lines, wind turbines, or pipelines, identifying faults (e.g., leaks, corrosion) without endangering personnel. This proactive maintenance prevents outages and enhances safety.
Processing
Post-flight data processing converts raw drone data into usable formats. Advanced software automates tasks like point cloud generation, noise filtering, and texture mapping, delivering insights within hours. Efficient processing is crucial for time-sensitive projects, such as disaster assessment or construction progress tracking.
AI Analysis
AI and machine learning analyze drone data to detect patterns, anomalies, or trends. In agriculture, AI identifies crop stress from multispectral imagery; in security, it flags intrusions in surveillance footage. Over time, AI algorithms improve predictive capabilities, enabling proactive measures like early disease detection in crops or predictive maintenance for infrastructure.