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Lidar

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Lidar
NameLidar
CaptionA mobile mapping system using lidar.
AcronymLIDAR
ClassificationRemote sensing, Surveying, Geodesy
InventorE. V. H. Emmett, Gordon Gould
Developed1960s–1970s
RelatedRadar, Sonar, Photogrammetry

Lidar is a method for determining ranges by targeting an object with a laser and measuring the time for the reflected light to return to the receiver. It is a core technology for high-resolution topographic mapping and has become indispensable in fields ranging from archaeology to autonomous vehicles. The technique is analogous to radar but uses light from a laser, typically in the ultraviolet, visible, or near-infrared spectrum.

Principles of operation

The fundamental principle is time-of-flight measurement, where a pulsed laser emits a short burst of light towards a target. The photodetector in the system measures the precise interval between the emission and the detection of the backscattered photons. This interval, multiplied by the speed of light and divided by two, yields the distance to the target. More advanced systems, such as those used for wind sensing, utilize the Doppler effect to measure velocity by detecting shifts in the frequency of the returned light. The spatial data collected from millions of individual measurements is processed into a dense point cloud, which can be used to generate highly accurate three-dimensional representations of the scanned environment.

Types of lidar systems

Systems are broadly categorized by their platform. Airborne lidar is mounted on aircraft or drones and is extensively used for large-area topographic and bathymetric surveys, such as those conducted by the United States Geological Survey. Terrestrial lidar systems, including static tripod-based scanners and mobile systems mounted on vehicles, are used for detailed mapping of infrastructure, forestry, and cultural heritage sites like the Angkor Wat complex. Spaceborne lidar instruments, such as the CALIPSO satellite, profile the atmosphere from orbit. Systems are also distinguished by their scanning mechanism, with common types including oscillating mirror scanners, rotating polygon mirrors, and micro-electromechanical systems.

Applications

Its applications are vast and cross-disciplinary. In topographic mapping and geomorphology, it is used to create digital elevation models, often revealing hidden archaeological sites under forest canopies, as seen in studies of the Maya civilization. The automotive industry relies on it as a primary sensor for self-driving car navigation, with companies like Waymo and Tesla integrating it into their systems. In atmospheric science, NASA employs DIAL systems aboard aircraft like the DC-8 to measure concentrations of ozone and other gases. Other critical uses include forestry inventory, urban planning, glaciology studies on the Greenland ice sheet, and precision agriculture.

History and development

Early foundations were laid shortly after the invention of the laser in 1960. The first notable demonstrations came in the early 1960s, with researchers like E. V. H. Emmett at the Hughes Aircraft Company and Gordon Gould exploring laser ranging. A significant milestone was achieved during the Apollo 15 mission in 1971, when a laser altimeter was used to map the surface of the Moon. Through the 1970s and 1980s, advancements in GPS and inertial measurement units enabled accurate georeferencing, transforming the technology from experimental to operational for agencies like the National Oceanic and Atmospheric Administration. The commercialization of the technology accelerated in the 1990s, driven by improvements in laser diodes and detectors, leading to its widespread adoption in the 21st century.

Technical specifications and performance

Key specifications include laser wavelength, which typically falls between 500 and 1500 nanometers, with 905 nm and 1550 nm being common for terrestrial and automotive use due to eye safety regulations set by the International Electrotechnical Commission. Pulse repetition frequency can range from a few kilohertz to over a million hertz, directly influencing point density. The beam divergence determines the spot size on the target and affects spatial resolution. System performance is also defined by range accuracy, which can be sub-centimeter for survey-grade instruments, and maximum range, which extends to several kilometers for atmospheric sensing. The data output, a point cloud, is often classified using algorithms to distinguish between ground points, vegetation, and buildings, a process standardized by the American Society for Photogrammetry and Remote Sensing.

Category:Optics Category:Remote sensing Category:Surveying