LiDAR Data Classification & Processing

Сategorizing the points collected by a LiDAR sensor
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GIS-Point – Experts in LiDAR Data Processing and Classification

By choosing GIS-Point for LiDAR data classification, you gain a reliable partner that will help you reach new heights in your industry!

390
+
projects in UK, Europe and America
6
+
years
of commercial experience in LiDAR services
35
K+
HA
LiDAR post-processing
153
K+
HA
digitization of topographic maps

LiDAR Data Processing on Outsourcing

GIS-Point provides outsourced LiDAR data processing services, offering comprehensive solutions for industries such as power lines, forest management, bathymetric surveying, road management, the energy industry, and urban planning.

With experience in the US, Europe, Canada, and the UK, we ensure fast execution, precision, and cost savings for our clients.

Collaborating with us allows you to optimize internal resources while focusing on core business processes, as we take on every stage — from recruitment team to quality control of data— as your production partner.

Types of Data and Processing

GIS-Point processes a wide range of geospatial data, including Airborne LiDAR or Mobile mapping LiDAR and geodetic measurements. Our services cover calibration, georeferencing, and data filtering to ensure precision and clarity. We specialize in projects across industries such as energy, forestry management, road infrastructure, and urban planning.
  • Digital Models for Enhanced Visualization

    We create detailed digital models to support project-specific needs:

    Digital Elevation Models (DEM) – Represent the Earth’s surface with high precision, providing valuable information for applications such as mapping, infrastructure projects, and land surveys.

    Digital Terrain Models (DTM) – Capture the bare ground, stripped of any surface objects, and are ideal for flood modeling, land-use planning, and civil engineering.

    Digital Surface Models (DSM) – Offer a comprehensive view of surface elevations, including both natural and man-made structures. These models are used in urban planning, telecommunications, and environmental monitoring.

  • Advanced Point Cloud Processing

    Our team processes LiDAR point clouds using cutting-edge algorithms to extract valuable insights:

    Classification – Using advanced algorithms to classify LiDAR points into categories such as land, vegetation, buildings, roads, and other objects. Automated classification is supplemented by manual intervention to ensure accuracy.

    Data Segmentation – Breaking down point clouds to identify and isolate key geographical or structural features.

    Feature Extraction – Extracting important data like buildings, roadways, and vegetation for deeper analysis.

    Analysis and Verification – Detailed review of classified data to ensure accuracy and completeness, followed by necessary adjustments to meet project-specific requirements.

  • Visualization and Delivery

    We produce 2D and 3D models, maps, and visual representations for easy interpretation and decision-making. Final products are delivered in a variety of formats, allowing seamless integration into your existing GIS systems.

  • Support and Consultation

    Beyond delivery, GIS-Point offers ongoing support and consultation to help clients make the most of their classified data. Our team provides guidance on optimal usage, ensuring successful project implementation.

LiDAR Data Classification for Detailed Analysis

 

Classification for detailed analysis at GIS Point during LiDAR data processing involves the following steps:

  • Point Classification. Each point is classified by type (e.g., ground, vegetation, buildings, roads, etc.), facilitating further analysis of the terrain.
  • Generation of Digital Elevation Models (DEM) and Digital Surface Models (DSM): Data processing is conducted to determine surface height characteristics, such as peaks, valleys, rivers, etc.
  • Object Segmentation. Points are segmented into distinct objects or elements for subsequent analysis, such as trees, buildings, or roads.
  • Object Categorization. Each object or feature is categorized into specific classes or categories to aid in recognition and analysis.
  • Feature Analysis. Characteristics of objects, such as height, size, and shape, are determined to obtain more detailed information about an area.
  • Change Detection. Differences between two or more LiDAR datasets are identified to detect changes in an area over time.

 

Segmentation for Enhanced Understanding

LiDAR DATA Segmentation

 

We use segmentation to divide LiDAR points into groups or objects, such as trees, buildings, roads, etc. This allows us to better understand the structure and composition of the areas.

After segmentation, we classify the resulting objects based on their characteristics, such as surface type or height. This aids in further analysis and identification of objects on the map.

Segmentation enables us to conduct a detailed analysis of each object individually, including measurements of size, height, and shape. This provides us with more information about the territory and enables us to draw more accurate conclusions.

Additionally, segmentation facilitates data visualization, making the data representation more understandable and accessible for analysis and interpretation.

Feature Extraction for Specific Applications

Feature extraction is an essential step in LiDAR data processing.

In forestry or environmental research, it involves detecting and classifying vegetation points from LiDAR data. This includes identifying tree crowns, measuring their height, estimating forest density, and assessing forest health.

For urban planning, feature extraction focuses on identifying and classifying buildings, roads, bridges, and other infrastructure elements. This process aids in urban modeling, land use planning, and transportation management.

In flood risk analysis, LiDAR data helps detect water bodies, river banks, and elevation. Feature extraction assists in identifying flood zones, estimating flood size, and determining flood vulnerability.

LiDAR data also aids in identifying and analyzing archaeological sites by detecting elevation changes that indicate hidden structures or artifacts.

LiDAR data processing in forestry

Request a consultation to see how our solutions can fit your specific needs

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Why Choose Us as Your Data Partner

Why Choose GIS-Point for LiDAR Data Classification

Comprehensive Back-Office Support: We act as an extension of your team, handling all data analysis, classification, and reporting, allowing you to focus on core business operations without the hassle of in-house data processing.

Extensive Industry Experience: Our team has successfully completed projects across Europe, the UK, Canada, and the USA, giving us the knowledge and adaptability to meet your specific project needs.

 

End-to-End Solutions: we responsible for final delivery, we manage the entire workflow, ensuring accuracy, quality control, and timely execution.

Long-Term Partnership: We believe in building long-lasting relationships with our clients, offering ongoing support, consultation, and a commitment to excellence in every project.

Proven Results: Backed by positive client testimonials and a track record of success, we provide reliable and efficient services that save you time and resources.

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Showcasing Success: Our Projects

  • Classification and build a DEM, DSM, DMT, TIN

    Location:

    Poland

    Classification and build a DEM, DSM, DMT, TIN
  • Classification mobile Lidar data, 3D mapping

    This map encompasses road networks and their immediate surroundings, extending 15 meters from the road centerlines. It features comprehensive attribute information for each object, including object types, surface materials, and height above ground level.
  • Classification of LiDAR point clouds for the city of Oslo

    Location:

    Norway

    Within the scope of this task, data from a portion of Oslo city was processed, specifically LAS/LAZ files and vector data for buildings, utility poles, and power transmission lines (with a focus on this vector area).

Transform Your Business with Our LiDAR Services

Our LiDAR services have numerous advantages.

01

Clear correspondence with reality.

02

Fast processing speed.

03

A wide range of applications.

04

Efficiency and savings.

Ready to get started?

Order our services now and transform your data into actionable insights

 

    United Kingdom

    Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

    Estonia

    Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia