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Get started with real data
Download any of these projects for free* and explore Pix4D’s desktop functionalities with a real dataset.
Important: These datasets may only be used for personal or professional training. For commercial or promotional use, “Courtesy of Pix4D / pix4d.com” must be displayed and all the text linked to pix4d.com. For more information on usage, contact our marketing team.
Using real data demonstrates what Pix4Dfields software can do and will help you understand what’s needed when collecting your own data.
Not sure where to begin? Follow the instructions below each data set to create your first project.
For more inspiration, check out our Community Hall of Fame.
Pix4Dfields example projects
Rostock Sequoia multispectral download dataset
| The goal of this project is to get an NDVI index map of a field using the Sequoia camera that captures Green, Red, Red edge and NIR wavelengths. |
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| General project information | |
|---|---|
| Project | |
| Location | Germany |
| Average Ground Sampling Distance (GSD) | 10.0 cm / 3.94 in |
| Area covered | 0.449 km2 / 44.9 ha / 0.173 sq. mi. / 110.95 acres |
| Output coordinate system | WGS84 / local Transverse Mercator |
| Image acquisition | |
| UAV | eBee (senseFly) |
| Image acquisition plan | 1 flight, grid flight plan, 106 meters flight height |
| Camera | Sequoia (Green, Red, Red edge, NIR) |
| Images | |
| Number of images | 1804 |
| Image size | 1280x960 |
| Image geolocation coordinate system | WGS84 |
| Download project files |
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The dataset can be downloaded here. The downloaded folder contains the following files and folders:
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Start a new project in Pix4Dfields |
| To begin processing the dataset, follow the guide A project step-by-step. |
Rostock S.O.D.A. RGB camera download dataset
| The goal of this project is to get a VARI index map of a field using the S.O.D.A camera that captures Red, Green, Blue wavelengths. |
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| General project information | |
|---|---|
| Project | |
| Location | Germany |
| Average Ground Sampling Distance (GSD) | 2.80 cm / 1.10 in |
| Area covered | 0.483 km2 / 48.3 ha / 0.186 sq. mi. / 119.35 acres |
| Output coordinate system | WGS84 / local Transverse Mercator |
| Image acquisition | |
| UAV | eBee (senseFly) |
| Image acquisition plan | 1 flight, grid flight plan, 119 meters flight height |
| Camera | S.O.D.A. (Red, Green, Blue) |
| Images | |
| Number of images | 374 |
| Image size | 5472x3648 |
| Image geolocation coordinate system | WGS84 |
| Download project files |
|---|
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The dataset can be downloaded here. The downloaded folder contains the following files and folders:
|
|
Start a new project in Pix4Dfields |
| To begin processing the dataset, follow the guide A project step-by-step. |
good
I' m interested to learn about Pix4D together with drone application in agriculture. I work for Ethiopian Sugar Corporation.
Hi,
Happy to read about your interest in learning about our solutions. We have different materials that can help you to get familiarized with Pix4Dfields. Please have a look here: https://www.pix4d.com/product/pix4dfields. You will find use cases from our users, links to our knowledge base, and FAQ.
Also, we have many webinars as well that I would recommend watching as we share how the software works. Still, we also give some examples of real applications that will help you to start learning about drone imagery in agriculture. https://www.pix4d.com/webinars-and-ebooks
For further questions you can contact our sales team: https://www.pix4d.com/contact
Sincerely,