Looking for a free Orfeo ToolBox download for your remote sensing course or research project? Orfeo ToolBox (OTB) is a free, open-source toolkit for processing satellite and aerial images. Students and researchers use it to calibrate data, detect features, and classify land cover. The newest release, version 9.1.1, fixes QGIS integration on Windows and cleans up the packaging. This guide walks you through the download, install steps for Windows and Linux, the QGIS plugin, and your first real project.
Orfeo ToolBox Download and Install Guide
What Is Orfeo ToolBox?
Orfeo ToolBox is an open-source C++ library for remote sensing image processing, released under the CeCILL license. It ships with 100+ ready-made applications for orthorectification, radiometric calibration, image classification, change detection, and SAR processing. It is maintained by the French space community and is completely free for everyone. Note that since version 9.0, the old standalone viewers (Monteverdi and Mapla) were removed. QGIS is now the official viewer and interface for OTB.
What’s New in Orfeo ToolBox 9.1.1
Version 9.1.1 is the latest release, and it is a bug-fix update over 9.1.0. The fixes matter for students: QGIS support files now generate correctly on Windows, so every OTB module is available through QGIS. Init scripts were fixed on RHEL-based Linux distributions. FFTW was removed from the shipped packages because of a license conflict. The earlier 9.1.0 added SPOT5 support and upgraded to GDAL 3.9, with Python 3.10 as the default on Windows.
Orfeo ToolBox System Requirements
| Component | Minimum Requirement |
|---|---|
| Operating System | Windows 10 (64-bit) or higher; Ubuntu/Debian or RHEL-based Linux |
| RAM | 4 GB (8 GB recommended for large Sentinel scenes) |
| Disk Space | 2 GB free for the full package |
| Windows Extra | Visual C++ Redistributable for Visual Studio 2019 |
| Python Bindings | Python 3.10 default on Windows; recompile for other versions |
| Viewer | QGIS (free) — no native Mac build, use Docker instead |
How to Install Orfeo ToolBox on Linux
Option 1: one-line installer. Open a terminal and run:
bash -c "$(curl -fsSL https://orfeo-toolbox.org/packages/install-otb.sh)" -s 9.1.1 $HOME/otb
Option 2: manual package. Download OTB-9.1.1-Linux.tar.gz (Ubuntu/Debian) or OTB-9.1.1-Linux_RedHat.tar.gz and extract it. Then activate the environment:
source $HOME/otb/otbenv.profile
How to Install Orfeo ToolBox on Windows
1. Download OTB-9.1.1-Win64.zip from the official download page below.
2. Install the free Visual C++ Redistributable for Visual Studio 2019 first — OTB will not run without it.
3. Extract the zip to a short path with no spaces, such as C:OTB.
4. Python 3.10 bindings are included by default. If you use a different Python version, recompile the bindings with the included recompile-bindings.sh script.
5. Add the bin folder to your system PATH, or skip this and use the QGIS plugin instead.
Connect Orfeo ToolBox to QGIS
The OTB plugin is no longer bundled with QGIS (since QGIS 3.36). Install it from the QGIS plugin catalog instead. Then point the plugin settings at your OTB application folder. Every OTB application appears in the QGIS Processing toolbox as a native tool. This is now the recommended way to run OTB — no command line needed.
Your First Project: Compute NDVI From a Sentinel-2 Image
1. Download a free Sentinel-2 scene from the USGS EarthExplorer or the Copernicus Browser.
2. In the terminal, activate OTB: source $HOME/otb/otbenv.profile.
3. Run the BandMath application to compute NDVI from the red and near-infrared bands:
otbcli_BandMath -il bands.tif -out ndvi.tif -exp “(im1b4-im1b1)/(im1b4+im1b1)”
4. Open the result in QGIS and apply a green-red color ramp. You just processed satellite data with free, open-source software. In QGIS, the same BandMath tool is available from the Processing toolbox.
Download Orfeo ToolBox — Free Official Link
Official packages for Windows and Linux, plus Docker images.
Frequently Asked Questions
Is Orfeo ToolBox really free?
Yes. Orfeo ToolBox is open-source software under the CeCILL license. It is free to download, use, and modify, for students, researchers, and professionals alike. No license fees, no trials, no feature locks.
Does Orfeo ToolBox work on Windows 11?
Yes. The Windows 64-bit packages support Windows 10 and higher, which includes Windows 11. Just install the Visual C++ Redistributable for Visual Studio 2019 first.
Can I use Orfeo ToolBox on a Mac?
There is no native Mac build for OTB 9.x. Mac users can run the official Docker image (docker pull orfeotoolbox/otb:9.1.1) or run OTB on a Linux virtual machine.
Do I need programming skills to use OTB?
No. You can run every application through the QGIS Processing toolbox with point-and-click dialogs. The command-line tools and Python API are optional bonuses for automation and scripting.
What is the difference between OTB and ESA SNAP?
Both are free and open-source. SNAP is ESA’s Java-based toolbox with a full desktop interface, strong for Sentinel product handling. OTB is a lighter C++ library with 100+ focused applications and deep QGIS integration. Many remote sensing courses teach both.
Where can I learn more?
The official OTB Cookbook has step-by-step tutorials, and the community forum answers real user questions. For a gentler start, see our free guides to ESA SNAP and WhiteboxTools linked below.
Related Posts: ESA SNAP Download + First Sentinel-2 Project · WhiteboxTools Free Download · GDAL 3.13 Free Download · Top Remote Sensing Software
Orfeo ToolBox 9.1.1 is one of the easiest ways for students to start processing real satellite data without paying for commercial software. It is free, open-source, actively maintained, and now works cleanly with QGIS on Windows and Linux. Download it from the official link above, pair it with QGIS, and try the NDVI project — your first remote sensing workflow is ten minutes away.
Disclosure: Some links on this page are affiliate links. If you buy a book through them, CartoGeek may earn a small commission at no extra cost to you. This helps keep our GIS guides free for students. Thank you for your support!
Recommended Remote Sensing Books
Introductory Digital Image Processing: A Remote Sensing Perspective (4th Edition)
by John R. Jensen
The standard university textbook on digital image processing of satellite and aerial imagery, covering how to extract biophysical information from remote sensor data. Extensively illustrated with a substantive reference list in every chapter for students starting research projects.
Pros:
- The definitive textbook — used in remote sensing courses worldwide
- Deep coverage from theory to analytical methods
- Strong reference lists for further study
Cons:
- Expensive textbook pricing
- Heavy on theory — not a software click-by-click guide
Remote Sensing and Image Interpretation (7th Edition)
by Thomas Lillesand, Ralph W. Kiefer, Jonathan W. Chipman
A discipline-neutral classic for introductory remote sensing and image interpretation courses, valued by GIS students and practitioners alike. Clear explanations of technical concepts with color imagery placed to support learning.
Pros:
- Trusted classic — decades of classroom use
- Discipline-neutral, suits geography, forestry, planning and more
- Good as both textbook and professional reference
Cons:
- Print quality varies by printing
- Some digital editions have limited e-reader compatibility
