We have desktop computers specially formulated to efficiently process data.
They can be customized to fit your needs specifically. They come with a faster processor to do the complex calculations related to Lidar technology. Windows 10 64-bit. Ryzen 9 3950X, Dual 2070 GPU with 64 GB RAM to load large files faster and run multiple applications simultaneously.
The foundational framework for visualizing and processing point cloud data sets. Users can analyze, modify and export geospatial products for specific applications using add-ons such as Terrain, Forestry, and LiPowerline modules.
The terrain module from Lidar360 enables users to classify ground points from LiDar point cloud data sets. This module contains GIS tools for interpolating surface models, visualizing and editing in 3D. Users can analyze the terrain models to generate derivatives from the surface models.
The LiPowerline plugin module for Lidar360 enables processing and analysis of powerline LiDar point cloud data. Inspections can be performed with automated classifications of power lines, towers, and vegetation. Manual augmentation of classified point clouds allows for detecting user-defined danger points such as overgrown vegetation and tree fall. Users can generate accurate and detailed inspection reports in KML formats for data driven decision making.
Process point cloud data from aerial (LiAir) and terrestrial (LiBackpack) laser scanning systems with this powerful Forestry module. Segment individual trees from CHM-based and point cloud algorithms.
LiMapper is a Photogrammetry image processing software. A quick and user friendly solution for processing image datasets. Users can generate Orthomosaic and surface models from large datasets efficiently.
An integrated photogrammetry processing and PPK differential correction solution designed for the DJI Phantom 4 RTK. Users can automatically and efficiently process big data sets with PPK correction to generate survey-grade accuracy geospatial products.
A proprietary acquisition and conversion software with optional INS/GNSS trajectory post-processing. Users can connect wirelessly to LiAir unit to receive a live point cloud preview of data collection and configure capture settings.
Easily and efficiently merge Point cloud data from mobile and aerial LiDar systems with integrated IMU and GNSS sensors. Users can process point clouds to .LAS or .LiData with specific datums including WGS84, projection, and coordinate system. Furthermore, RGB imagery can be fused with point cloud data to create true-color 3D models. This software can be used to process data from popular laser scanning technologies including Riegl and Velodyne.
A point cloud post-processing software for the LiBackpack series. Process raw data acquired from LiBackpack to generate high accuracy point clouds.
The forestry module contains tools to process point cloud data acquired from aerial laser scanning (ALS) systems (e.g. LiAir, LiEagle), terrestrial laser scanning (TLS) suystems (e.g. LiBackpack), and mobile laser scanning systems (e.g. LiMobile).
After processing with LiBackpack Desktop, users can import projects into LiFuser to review and roam the generated point cloud. Registration and alignment of point cloud can be done within LiFuser through manual alignment, Point Pairs based registration, and ICP (Iterative Closest Point) registration.
Mission planning and flight automation (iOS - iPad) application designed for integration of the LiAir and DJI M600 platform. Users can pre-plan missions, manage, and configure LiAir settings from the application. Once on location missions can be executed automatically with a simple tap-to-fly. Monitor progress with real-time tracking and telemetry.