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Dear Quick Terrain Modeler and Quick Terrain Reader User,

The below FAQ section allows you to view some common questions that have been asked, and also allows you to ask a new question you may have. We will respond to all questions personally via email. If we post a question to the FAQ’s, your privacy is of the utmost importance to us, and we will remove anything that identifies you with the original question. We will never market or sell your email and/or contact details. As always, you can contact us via traditional means from the contact page if you need further support.

The Quick Terrain Modeler is available in Node Lock, Portable, and Floating versions. The Node Lock version is locked to a single workstation. The Portable version requires a USB dongle plugged in locally to a workstation and can be moved between multiple workstations. The Floating version accesses the license(s) over a network (via USB Dongle or Flexera license server) and is appropriate for multiple users and, when multiple licenses are available, allow for concurrent access. Please contact info@appliedimagery.com for more information and/or pricing.

QT Modeler is a 64-bit, Windows application.  It runs on any modern Windows OS that is still supported by Microsoft.  While QT Modeler does not run directly on Apple Mac OS, many users have installed BootCamp/Windows and successfully run QT Modeler on a Mac.

The key hardware components to consider are:

  • Graphics/GPU: Discrete graphics such as NVIDIA or AMD with a minimum OpenGL version of 3.1.  
  • Memory/RAM: 16GB+. If you intend to load large 3D data sets, more is better.
  • CPU:  Any modern CPU will work, but we recommend multiple cores (4, 8, 16) to take advantage of QTM's multithreading capabilities (i.e. speeds up calculation intensive processes)
  • Display:  1920 x 1080 display or better.
  • Storage:  10GB minimum free storage for QTM, probably much more to store your data (100GB+).  Solid State Drives (SSD) perform much faster than "spinning" drives.

Yes.  We continue to support our users, even with COVID restrictions.  Some recommendations:

  • Check out our tutorials on this website.
  • Contact us for information about our self-paced, interactive, video-centric training portal.  The portal offers QTM course certification as well, for those managers who want to ensure student participation.  There is no charge to users with an active maintenance agreement.  info@appliedimagery.com
  • Contact us to set up live, interactive WebEx training sessions - support@appliedimagery.com
  • The QTM Help file is actually very helpful.  Try clicking on the help buttons on various QTM tools/windows.

No.  There are some nice features that require a network connection, such as:

  • WMS Imagery Overlay:  Stream maps and imagery from network-based WMS servers.
  • Google Earth Integration:  Synchronize the view, move specific objects automatically to Google Earth.
  • Search and Index - QTM's search tool can find data/imagery on network drives based on a spatial search.  Indexing creates a visual coverage map of network holdings.  Both of these functions also work on local data.
  • GRID integration:  DoD users can access data and imagery on NGA's GRID portal.

...but QT Modeler will function just fine without a network connection.

Yes.   It's also worth noting that QT Modeler itself is not classified, although components of QT Modeler are export-restricted.

Please contact us to learn more.  info@appliedimagery.com, 301 589 4446

No.  It's pretty simple.  Applied Imagery bundles the full capability of QT Modeler as a single product.  We do not offer any bronze/silver/gold or basic/professional versions nor will we surprise you with any hidden fees.  The only decision you will need to make is what license type you need - node lock, portable, or floating.

Absolutely not.  QT Modeler is completely sensor-agnostic.  Our users work with 3D data from LiDAR, Radar, imagery (aka Structure from Motion (SFM) or Passive 3D), and sonar.  This data can be in point cloud and/or surface model format.  Furthermore, data from multiple sensor types can be loaded into the same scene.

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