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LiDAR (Light Detection And Ranging)
Is a remote-sensing technology that uses pulsed laser energy (light) to measure ranges (distance).
Engineers and earth scientists use LiDAR to accurately and precisely map and measure natural and constructed features on the earth’s surface, within buildings, underground, and in shallow water.
LiDAR systems are active systems because they emit pulses of light (the laser beams) and detect the reflected light. This characteristic allows LiDAR data to be collected at night when the air is usually clearer and the sky contains less air traffic than in the daytime.
The difference between LiDAR (Light Detection And Ranging) and RADAR (Radio Detection And Ranging) is their wavelength.
(LiDAR) is a light-based remote sensing technology. In the case of Yellowscan, the idea behind LiDAR is quite simple: point a small infrared laser beam at a surface and measure the time it takes for the laser to return to its source
LiDAR is a compact solution that enables a high level of accuracy for 3D mapping. At a distance of 100 meters, Yellowscan LiDAR systems have a resolution of a few centimeters.
1. Laser scanner
2. High precision watch
3. GPS
4. Inertial navigation Measurement Unit
5. Data storage and management systems
6. GPS ground station
7. Scanner
1. Frequency: 50 kHz - 200 kHz pulses/sec
2. wavelength:
1. Ground-based LIDAR
2. Airborne LIDAR
3. Spaceborne LIDAR
LiDAR has one big advantage over photogrammetry:
it produces its own light. That means it is not affected by weather conditions, such as cloud cover and changing lighting conditions which can greatly disrupt aerial data collection for photogrammetry. Both terrestrial and aerial 3D laser scanning benefit from this, whereas photogrammetry using drones or handheld cameras does suffer in poor lighting.
LiDAR can penetrate the spaces between pieces of foliage and pick up small details. The laser pulse will see in-between leaves and give a measurement straight to the tree trunk or ground beneath the tree, whereas photogrammetry depends on photos, reconstructing only what is visible at the surface.
In addition, photogrammetry benefits from a range of outputs, including colorized point clouds, textured meshes, and Orthomosaics, while LiDAR only produces a point cloud.
LiDAR can be used to perform similar tasks to photogrammetry and can strengthen its outputs. The use of both techniques in combination means that LiDAR, especially terrestrial laser scanning, can add details that aerial photogrammetry data may have missed. Thus, when LiDAR and photogrammetry are combined they bring more detail to a project that may not have been achieved by either individually.
LiDAR and photogrammetry point clouds are often massive files made of billions of points. Manipulating and seamlessly navigating this data has been a challenge that PIX4D survey now solves, allowing users to handle these billions of points.
Now, LiDAR-equipped devices are becoming more widespread, making the technology avaiable to many by turning popular consumer products into devices ready for accurate 3D modelling.