Lidar Data Classification Services

LIDAR (Light Detection and Ranging) is a new technology in the field of topographic data acquisition with high density, high speed, and accurate data. It scans can be performed day or night, provided the flight conditions are clear. In addition to the x-y-z coordinates, you can also collect intensity reflection data.

Lidar technology enables data to be captured in the field by illuminating the lens with a pulsed laser. Since, it also provides elevation data, it is used in various industries.

Eratost offers a wide range of Lidar data processing services, which are used to create digital elevation models (DEM), digital terrain models (DTM) and triangulated reversal networks (TIN) to provide very precise details of the earth’s surface. Eratost LIDAR data classification services have helped the global industry make informed decisions about their business. With Lidar data processing services, the electrical industry can plan and maintain efficient power grids. The Lidar classification services also help the agricultural sector by delimiting river catchment areas and mapping the evaluation of crops using data from clouds of light detection and ranging points. In this way, the Lidar classification data processing help many industries to plan and make informed decisions.

Lidar data processing can be fully customized in the following categories:

  • LiDAR classification for corridor mapping.
  • Infrastructure development
  • Utility services
  • Classification of point clouds for traffic safety and inventory.

Here are some tips to help you take advantage

  • Make sure that LAS files are optimized for use in GIS.
  • Keep the LiDAR in LAS format.
  • Arrange the data correctly.
  • Careful planning to avoid creating a network or long waiting for users to view it.
  • Choose a company that offers several complimentary benefits.

The raw data says nothing to anyone because it has to be processed to create a real map. Therefore, terrestrial laser scanning is done in two parts. The first part is the data acquisition and the second part is data analysis. Lidar data classification services support many industries in planning and decision making. Lidar data processing services can be used by many large and medium-sized companies with data overload.

  • The final result is displayed in DWG, DXF or DGN formats and can be edited while the drawing is being created as a new file.
  • Bare earth extraction is an essential part of the analysis of LiDAR data with regard to earth classification.
  • Extended classification

Let’s divide multispectral Lidar intensity data into four namely buildings, classes, trees, roads, bridges and grass. Now we can get the highest accuracy of the general classification.

Eratost LIDAR Data Classification Services

Lidar mapping and topographies are used for flood risk mapping, forestry, oil and gas exploration surveys, transmission planning for power lines or pipeline corridors, property development, design studies, mapping of coastal areas, wetlands, etc. Restricted access areas, city modeling, etc. The use of air-light area and detection technology (LiDAR) enables fast, high-resolution acquisition of surface elevation data suitable for a variety of applications

The data is classified at the end of the processing cycle. This task processes the data points through an intensive filtering process and several types of points are separated. For example, vegetation data can be removed from the soil layer data, and it is also possible to separate buildings and power lines using custom filter routines.

Generation of vectors by Lidar Data Classification Services

Vector mapping is a 3D representation of the properties of the earth’s surface and is used for spatial modeling and analysis. Prepare the map by extracting vector information or points from buildings, railways, hydrological features, vegetation, etc., as indicated by the user using various symbols (fountains, trees, masts, etc.), types of lines (roads, rails, streams, etc.) and Regions (buildings, tanks, forests, etc.) with ID.

Digital vector map products are representations of the main features of the topographic map with associated dashed lines and region/area data. Vector maps are digitized so that a geographic information system can automatically retrieve information about the properties of the vector, which enables later analysis (e.g. analysis of neighborhood, proximity, and connectivity).

Image overlay and point cloud Colorization

To get more interesting results than simple coloring, you can use image overlay and point cloud colorization.

Classification and vectorization of power lines

Power line corridor mapping is common in government projects and provides a solution for the electricity industry for both transmission and distribution of power line cables.

Breakline & Contour Generation mapping Using Lidar Data Classification Services

Contours are usually in vector formats (e.g. shapefile, DXF) and are derived from a reconstructed TIN-DEM. The contours are one of the most frequently used representations for surveys. In eratost, contours derived directly from these data are accurate, but not “clean” and often require a degree of interpolation, simplification, smoothing or manual processing in order to obtain the intuitive product. During the cleaning and editing process, the vector specification significantly influences the definition of the Lidar data accuracy. This is a direct result of its widespread use for technical and other common representations. In many projects, data is collected to “support the creation of 2-foot contours” or similar explanations required to achieve pleasant contours with the accuracy of the basic these data; The widespread use and generation of contours continue to play an important role in determining the level of accuracy of lidar data collections.

Orthophoto creation and color balance

Always choose a service that has proven experience in orthophoto generation. A company with a proven track record of successful projects that require orthophotography and color balance.

Vectorization of 3D features

Feature extraction research has increased. 3D vectorization converts the point cloud, the raster or other formats into vector data types into a specific geometry, e.g. B. Lines, curves and polygons.

3D Car or Building modeling Using LiDAR Data Classification Services

Our main functions include 3D visualization, 3D environment modeling, reconstruction of real 3D landscapes, integration of visual and virtual reality as well as real-time roaming with large amounts of data.

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