Light Detection and Ranging
This technology is used in geographical information systems (GIS) to produce digital elevation model (DEM) or digital terrain model (DTM) for 3D mapping models.
LiDAR for drones matches perfectly with:
- Small areas to fly over (<10 sq. km or 100 km linear)
- Mapping under vegetation
- Hard-to-access zones
- Data needed in near real-time or frequently
- Accuracy range required between of 2.5 and 10 cm
LiDAR operating principle
- Emission of a laser pulse
- Record of the backscattered signal
- Distance measurement (Time of travel x speed of light)
- Retrieving plane position and altitude
- Computation of precise echo position
How does LiDAR work?
You may have already heard about LiDAR but have no clue about this technology ? You will learn in what follows the basic principles behind LiDAR. You will discover as well some applications for 3D laser mapping with unmanned aerial vehicles (also known as UAV, UAS or drones).
Understanding how LiDAR works
Light Detection and Ranging (LiDAR) is a similar technology to Radar, using laser instead of radio wave.
LiDAR principle is pretty easy to understand:
- emitting a laser pulse on a surface
- catching the reflected laser back to the LiDAR pulse source with sensors
- measuring the time laser travelled
- calculating the distance from source with the formula “Distance = (Speed of light x Time elapsed) / 2
This process is repeated a million times by LiDAR instruments and ends up by producing a complex map of the surveyed area : a 3D point cloud.
Understanding how a LiDAR system is built
1. Laser Scanner
LiDAR systems pulse a laser light from various mobile systems (automobiles, airplanes, drones…) through air and vegetation (aerial Laser) and even water (bathymetric Laser). Scanner is receiving the light back (echoes), measuring distances and angles. Scanning speed is influencing the number of points and echoes that are measured by a LiDAR system. The choice of optic and scanner influence greatly the resolution and the range in which you can operate the LiDAR system.
2. Navigation and positioning systems
Whether LiDAR sensor is mounted on airplane, car or UAS (unmanned aerial systems), it is crucial to determine the absolute position and orientation of the sensor to make sure data captured are useable data. Global Navigation Satellite Systems (GNSS) provide accurate geographical information regarding the position of the sensor (latitude, longitude, height) and Inertial Measurement Unit (IMU) defines at this location the precise orientation of the sensor (pitch, roll, yaw). Data recorded by these 2 devices are then used to generate data into static points : the basis of the 3D mapping point cloud.
3. Computing technology
In order to make the most of the data : computation is required to make the LiDAR system work by defining precise echo position. It is required for on-flight data visualization or data post-processing as well to increase precision and accuracy delivered in the 3D mapping point cloud.
Defining a fit between your project needs and LiDAR specifications
Laser Scanner: What are the level of accuracy, level of precision, point density, range, swath that fit to your project needs ?
GNSS: Are the GNSS reference station (terrestrial) + GNSS receiver (moving) compatible with GNSS used (GPS, GLONASS, BEiDOU or Galileo) ? Do I need a ground station or not ?
Batteries: Are the batteries internal or external ? What is the autonomy required to cover the surface you want to map ?
Mounting: Can the LiDAR system be easily mounted on the aerial platform (aircraft, drone) or automotive platform (car) you use?
Datafile: What is the format of the generated data file ?
Data Post-processing: How easy is to use the data and deliver the best 3D mapping point cloud to your end customer ? Classification, colorization, DTM generation, orl ? What to do with the post-processed data ?
Discover UAV LiDAR applications
Power Utilities: powerline survey to detect line sagging issues or to plan trimming activities
Mining: surface/volume calculation to optimize mine operations (stockpile, excavation) or decide mine extension
Oil: pipeline survey to optimize operations and maintenance
Civil engineering: mapping to help leveling, planning and infrastructure optimization (roads, railways, bridges, pipelines, golf courses) or renovating after natural disasters, beach erosion survey to build emergency plan
Archeology: mapping through the forest canopy to speed up discoveries
Forestry: mapping forests to optimize activities or help tree counting
Environmental research: measuring growth speed, disease spreading
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