What Are the Requirements for the Airborne Lidar Camera for the Acquisition of Lidar Point Cloud Data

Mar 22, 2022

In the effective altitude range, to ensure the lowest point cloud density, the laser radar maximum laser emission frequency To be higher.

Alpine landforms are mainly characterized by large height differences. When the airborne lidar is scanning, the point cloud density of the lowest point and the highest point is very different. In the effective altitude range, to ensure the lowest point cloud density, the laser radar maximum laser emission frequency To be higher, the current laser radar with a laser emission frequency of 800 KHz -2000KHz has better Aerial photography effects.

Feiyan Remote sensing’s own RIEGL VQ-1560i airborne lidar has a maximum launch frequency of 2 million Hz, an effective ground measurement speed of 1,330,000 points per second, and can operate at an altitude of up to 4,700 meters. It is especially suitable for Aerial Surveying and mapping in complex environments.

What is LiDAR point cloud data?

LiDAR (laser detection and ranging) is an optical Remote sensing technology which mainly USES the laser as the emitting light source and adopts the active Remote sensing equipment of photoelectric detection technology. Primarily used in airborne laser mapping applications, it is increasingly becoming a cost-effective alternative to traditional measurement techniques such as photogrammetry.

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LiDAR and Hyperspectral Remote Sensing Data Fusion Realize Complementary Advantages

With the continuous development and progress of earth observation technology, and the continuous diversification of means for obtaining spatial information, the use of a single means of spatial data resources has been difficult to meet people's information needs. Lidar and hyperspectral Remote sensing, as two common Remote sensing methods, have different characteristics: Lidar can quickly, efficiently and accurately obtain three-dimensional spatial data of features, and hyperspectral images can well characterize the spectral information of features , Reflecting the characteristics of its features, materials, texture, etc. The fusion of these two kinds of data can achieve complementary advantages, maximize their respective characteristics, and achieve more accurate intelligent detection and identification of objects and higher-precision classification and extraction, which are widely used in forestry ecology, precision agriculture, environment Monitoring and other fields.

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The Basics of LiDAR

LiDAR is an active Remote sensing system. An active system means that the system itself generates energy - in this case, light - to measure things on the ground. In a LiDAR system, light is emitted from a rapidly firing laser. You can imagine light quickly strobing from a laser light source. This light travels to the ground and reflects off of things like buildings and tree branches. The reflected light energy then returns to the LiDAR sensor where it is recorded.

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What Are the Different Uses of LiDAR Processing?

LiDAR (Light Detection and Ranging) technology and processing is used in a wide range of research and practical applications. With its ability to measure dimensions, distances, textures, and many other aspects of targeted subjects, LiDAR processing has become an increasingly important tool in geology, geography, surveying, agriculture, and forestry. Atmospheric sciences, archaeology, seismology, and geomatics also depend on data gathered using LIDAR processing for research, while physics and astronomy benefit from LiDAR's ability to create highly precise maps.

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What is Lidar Data?

Lidar (light detection and ranging) is an optical remote-sensing technique that uses laser light to densely sample the surface of the earth, producing highly accurate x,y,z measurements. Lidar, primarily used in airborne laser mapping applications, is emerging as a cost-effective alternative to traditional surveying techniques such as photogrammetry.

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