LIDAR Analyst

LIDAR Analyst

LIDAR Analyst is a point cloud processing software used for working with LIDAR data. It allows visualizing, editing, analyzing, and extracting information from large LIDAR datasets. Key features include point cloud classification, feature extraction, contouring, and profiling.
LIDAR Analyst screenshot

LIDAR Analyst: Point Cloud Processing Software

LIDAR Analyst is a comprehensive software for working with LIDAR data, offering features like point cloud classification, feature extraction, and contouring.

What is LIDAR Analyst?

LIDAR Analyst is a feature-rich software solution designed specifically for working with LIDAR point clouds. It provides a comprehensive set of tools for efficiently visualizing, analyzing, editing, and extracting information from large LIDAR datasets.

With an intuitive user interface optimized for both novice and expert users, LIDAR Analyst makes it easy to accomplish complex point cloud processing tasks. Key features include:

  • Powerful visualization tools like shading, illumination, and animation for interpreting LIDAR data
  • Advanced classification to categorize points into classes such as ground, buildings, trees etc.
  • Automated feature extraction to identify buildings, trees, power lines from point clouds
  • Contouring and profiling tools for generating DEM, DSM and other elevation models
  • Efficient data editing and clean up tools for removing noise, outliers etc.
  • Ability to handle large datasets with hundreds of millions of points
  • Support for all major LIDAR data formats
  • Smooth workflow integration with other geospatial software

With the ability to handle large datasets and extract actionable information, LIDAR Analyst is an ideal solution for professionals involved in mapping, surveying, forestry, power line modeling and other applications relying on accurate LIDAR data.

LIDAR Analyst Features

Features

  1. Point cloud visualization
  2. Point cloud editing and cleaning
  3. Point cloud classification and feature extraction
  4. Contouring and profiling tools
  5. Volumetric analysis
  6. TIN/DEM generation
  7. 3D modeling

Pricing

  • Subscription-Based

Pros

User-friendly interface

Powerful point cloud processing capabilities

Supports large datasets

Advanced analysis and modeling tools

Can handle raw LIDAR data

Cons

Steep learning curve

Requires high-end computer for large datasets

Limited file format support

Batch processing can be slow

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