Tersus GNSS looks at the key technical parameters of LiDAR technology, from ranging accuracy to scan range and point cloud density, to understand how they impact surveying and mapping precision. Learn more > >
LiDAR (Light Detection and Ranging) technology is revolutionizing surveying and mapping with its ability to provide high-precision measurements through laser scanning. However, understanding its technical parameters can be challenging for newcomers. This article breaks down the essential aspects of LiDAR technology to help users better grasp its capabilities and applications.
Ranging Accuracy measures how precisely LiDAR can determine distances, with high-precision systems achieving accuracy within a centimeter. Various factors, like atmospheric conditions and target characteristics, can influence this accuracy.
The Scan Range refers to the maximum and minimum distances LiDAR can measure effectively, which varies depending on the laser’s emission power. LiDAR units like the MVP-XT32 and MVP-M2X offer scan ranges of 120m and 300m, respectively, making them suitable for different applications.
Return counts the number of laser signals reflected back from targets, providing valuable data about complex environments. LiDAR can capture multiple returns, offering a clearer picture of intricate scenes such as forests.
The Effective Measurement Rate measures how many data points LiDAR can collect per second, with systems like MVP reaching up to 1.9 million points per second. A higher measurement rate captures more detail, vital for real-time mapping and dynamic environments.
Field of View (FOV) defines the angular range LiDAR can scan, affecting data coverage and resolution. Additionally, Laser Wavelength influences the system’s ability to penetrate various materials, and Reflectivity impacts the accuracy of the laser’s returns. Finally, Point Cloud Density refers to the number of laser points collected, affecting data detail and processing complexity.
