1.  ArcGIS Drone2Map system requirements
  2.  Install ArcGIS Drone2Map
  3.  Install a localized ArcGIS Drone2Map setup
  4.  Silently install ArcGIS Drone2Map
  5.  Uninstall ArcGIS Drone2Map
  6.  Copyright information

ArcGIS Drone2Map system requirements

Before installing or upgrading Drone2Map on a virtual or physical machine, make sure your system meets the minimum requirements to run it. Also, learn what resources are recommended to get the best performance.

Check your computer's ability to run Drone2Map

Supported operating systems

Drone2Map is supported on the operating systems listed below, given the operating system is also currently supported by its provider for general or public use. Prior and future updates or service packs on these operating systems are supported unless otherwise stated.

Operating system

Latest update or service pack tested

Windows 10 Home, Pro, and Enterprise (64 bit)

Oct 2020 update

Windows 8.1 Pro and Enterprise (64 bit)

Oct 2020 update

Windows Server 2019 Standard and Datacenter (64 bit)

Oct 2020 update

Windows Server 2016 Standard and Datacenter (64 bit)

Oct 2020 update

Windows Server 2012 R2 Standard and Datacenter (64 bit)

Oct 2020 update

Windows Server 2012 Standard and Datacenter (64 bit)

Oct 2020 update

Hardware requirements

Item

Supported and recommended

CPU speed

Minimum: 2 cores, hyperthreaded*

Recommended: 4 cores

Optimal: 10 cores

Platform

x64 with SSE2 extensions

Memory/RAM

Minimum: 4 GB

Recommended: 8 GB

Optimal: 16 GB or more

Display properties

24-bit color depth

Also see Video/Graphics adapter requirements below.

Screen resolution

1024x768 or higher at normal size

Visualization cache

The temporary visualization cache for Drone2Map can consume up to 32 GB of space, if available, in the user-selected location. By default, the visualization cache is written to the user profile.**

Storage

Minimum: 32 GB of free space

Recommended: 32 GB or more of free space on a solid-state drive (SSD)

*Hyperthreaded CPUs typically feature two threads per core. A hyperthreaded 2-core CPU will have four threads available for processing, while a hyperthreaded 6-core CPU will have 12 threads available for processing.

**The cache is written by default to the user profile’s \Local subfolder, so it does not roam with the user profile if roaming profiles are enabled by your system administrator.

Video/Graphics adapter requirements

Refer to the video/graphics adapter requirements below for information on how to achieve the best graphics performance.

NoteNote:

Be sure to use the latest available driver.

Item

Supported and recommended

DirectX*

Minimum: DirectX 11, feature level 11.0, Shader Model 5.0

Recommended: DirectX 11, feature level 11.0, Shader Model 5.0

OpenGL*

Minimum: OpenGL 4.3 with the EXT_texture_filter_anisotropic and EXT_texture_compression_s3tc extensions.

Recommended: OpenGL 4.5 with the ARB_shader_draw_parameters, EXT_swap_control, EXT_texture_compression_s3tc, and EXT_texture_filter_anisotropic extensions.

Dedicated (not shared) graphics memory**

Recommended: 4 GB or more

*Drone2Map will automatically use OpenGL if DirectX requirements are not met. You can manually change to OpenGL if you suspect an issue with your driver.

** If you're using a notebook computer with an integrated GPU, consider increasing the system RAM to compensate for the usage of shared memory.

Software requirements

The following software must be installed before installing Drone2Map:

Software

Requirement

.NET Framework

Microsoft .NET Framework 4.8

Browser

Microsoft Internet Explorer 11

Virtualization

Drone2Map is supported in various on-premises and cloud environments as shown in the four tables below.

In all environments, a GPU that is compatible with your virtualization platform is recommended for the best user experience.

NoteNote:

The Virtualization section of the help provides additional information about setting up virtualization environments for Drone2Map.

On-premises virtual desktop infrastructure (VDI)

Notes

Citrix XenDesktop 7.6 CU6

Use the latest Citrix and NVIDIA drivers. Refer to the Citrix and NVIDIA GRID websites for the most current driver versions.

Citrix XenDesktop 7.11

Citrix XenDesktop 7.12

Citrix XenDesktop 7.13

Citrix XenDesktop 7.14

Citrix XenDesktop 7.15 CU4

Citrix Virtual Apps & Virtual Desktop 7.1808 2

Windows Server 2012 R2 Hyper-V

Microsoft VDI certified with RemoteFX vGPU Windows Device Driver Model (WDDM) 1.2

Windows Server 2016 Hyper-V

VMware vSphere 6.5

Use VMware Horizon View 7.0.3 and later only.

Use the latest VMware and NVIDIA drivers. Refer to the VMware and NVIDIA GRID websites for the most current driver versions.

VMware vSphere 6.7

On-premises application streaming and virtualizing

Notes

Citrix XenApps 7.6 LTSR CU7

Hosted OS:

  • Windows Server 2012 R2 (April 2019 update or later)

Citrix XenApp 7.11

Windows Server 2016

Citrix XenApp 7.12

Windows Server 2016

Citrix XenApp 7.13

Windows Server 2016

Citrix XenApp 7.14

Windows Server 2016

Citrix XenApp 7.15 CU4

Windows Server 2016

Citrix Virtual Apps & Virtual Desktop 7.1808 2

Windows Server 2016

NoteNote:

  • Drone2Map with Citrix XenApp is strongly discouraged because of poor XenApp session/server density. This is based on testing using Windows Server 2012 R2 and 2016.
  • Drone2Map provides a nominal level of functionality and performance in the following environments:

    • Microsoft App-V
    • VMware App Volumes

Cloud virtual desktop infrastructure (VDI)

Notes

Amazon WorkSpaces Graphics Bundle

Azure NV-Series VMs

NV6 is recommended because it includes one GPU, and Drone2Map currently doesn't need more than one GPU. Windows 10 client RDP is adequate for most workloads; Teradici technology may be helpful for demanding workloads.

NoteNote:

When using Spatial Analyst tools or machine learning capabilities that leverage CUDA, more than one GPU may be helpful to support visualization and computation. Consider this option if running Spatial Analyst tools or machine learning capabilities and the display becomes jerky. Here are the current lists of Spatial Analyst tools and machine learning capabilities that utilize the GPU for computation.

Cloud application streaming and virtualizing

Notes

AWS AppStream

Azure Citrix XenApp