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What is Quick Terrain Modeler?

Quick Terrain Modeler, developed by Applied Imagery, is recognized as a premier software solution for 3D visualization and point cloud analysis, specifically designed to optimize the use of LiDAR data. Its user-friendly interface makes it easy for individuals working with large 3D datasets to perform rapid analyses and export various outputs with minimal prior expertise required. This software is highly adaptable, supporting data from multiple sources such as LiDAR, photogrammetry, radar, and sonar, and it enables seamless transitions between different coordinate systems within a single platform. Among its standout features are the capabilities to visualize large 3D datasets in both point cloud and surface model formats, interactive inspection tools, 3D editing functionalities, automatic point cloud classification, and building extraction, alongside an extensive suite of geospatial analysis tools. Quick Terrain Modeler is compatible with Windows operating systems and even offers a free trial version, allowing prospective users to test its capabilities before making a purchase decision. With a focus on robust functionality and user-centric design, it effectively serves the needs of professionals aiming to elevate their data analysis and visualization processes. Additionally, its continuous updates and enhancements ensure that it remains relevant in the fast-evolving field of geospatial technology.

What is AWS Thinkbox Sequoia?

AWS Thinkbox Sequoia is a specialized software application tailored for processing point clouds and generating meshes, compatible with Windows, Linux, and macOS operating systems. This application adeptly manages point cloud and mesh data across various popular formats, transforming point cloud information into a fast-access intermediate cache format. Sequoia features sophisticated workflows that emphasize the preservation of high-precision data, allowing users to visualize entire point clouds or selected segments using adaptive, view-dependent methods. Users can manipulate, trim, and modify point cloud data, generate meshes from these clouds, and improve the quality of the resulting meshes. Furthermore, the software supports the projection of images onto both points and meshes, creating mesh vertex colors, Ptex, or UV-based textures that are derived from the colors of the point clouds and these image projections. In addition, it provides the capability to export the created meshes to a range of industry-standard mesh file formats and integrates smoothly with Thinkbox Deadline, which facilitates the conversion, meshing, and export of point cloud data across network nodes. This integration significantly boosts productivity and efficiency in 3D modeling tasks. Ultimately, Sequoia not only streamlines the workflow but also empowers professionals to handle intricate spatial data with greater ease and precision, thereby enhancing their creative processes.

Media

Media

Integrations Supported

AWS Thinkbox Deadline
Amazon Web Services (AWS)

Integrations Supported

AWS Thinkbox Deadline
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Applied Imagery

Company Location

United States

Company Website

appliedimagery.com/download/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/thinkbox-sequoia/

Categories and Features

Categories and Features

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