Pix4Dsurvey example dataset

Get started with real data

Download any of these projects for free* and explore Pix4Dsurvey 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 Pix4D 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.

   

LOGO_KB_Demo_Projects_Survey.pngPix4Dsurvey example projects

Combination of Pix4Dmapper project and terrestrial laser scans download dataset

The goal of this project is:

  • Use the project processed in Pix4Dmapper and vectorize it in Pix4Dsurvey.
  • Use a combination of photogrammetry and a terrestrial laser scanner.
  • Organize the vectorized objects in layers.
Pix4Dsurvey_demo_Rivaz.jpg
General project information
Project
Location Switzerland
Average Ground Sampling Distance (GSD) 2.39 cm / 0.94 in
Area covered 0.0441 km2 / 4.41 ha / 0.017 sq. mi. / 10.90 acres
Output coordinate system CH1903+ / LV95
Vertical Coordinate System: Geoid Height Above Bessel 1841 Ellipsoid = 0 meters
Image acquisition
UAV eBee X (senseFly)
Image acquisition plan 2 flight, single grid flight plan
Camera senseFly S.O.D.A.
Images
Number of images 101
Image size 5472x3648
Image geolocation coordinate system WGS84
Terrestrial laser scans
Laser scanner Leica RTC360 3D Laser Scanner
Number of scans¹ 2
Number of points² 3,549,517 - Bridge
5,327,201 - Village
Laser point cloud coordinate system CH1903+ / LV95, Bessel 1841 Ellipsoid
¹ In total 12 laser scan stations were used to fully capture 2 scenes and to generate 2 final point clouds.
² The number of points after cleaning the point cloud and reducing the resolution of the point cloud.
Download project files

The dataset can be downloaded here (1.6 GB).

The downloaded compressed .zip file contains the following files and folders:

  • images: RGB images in JPG format
  • pointclouds: point clouds in a Pix4Dsurvey point cloud format (.bpc).
  • Pix4Dsurvey_Demo_Rivaz.p4s: Pix4Dsurvey project file.
Instructions
Open the .p4s Pix4Dsurvey project file

This section describes how to open the .p4s project to set it up for vectorization.

 
Access: To download Pix4Dsurvey click here.
  1. Open Pix4Dsurvey.
  2. Drag and drop Pix4Dsurvey_Demo_Rivaz.p4s on the screen. More options in the Project management article.

Once the import is completed both the point clouds and calibrated images will be displayed. You are ready to start vectorizing the project.

Suburban area download dataset

The goal of this project is:

  • Use the project processed in Pix4Dmapper and vectorize it in Pix4Dsurvey.
  • Vectorize buildings, roofs, roads, curbs, green areas, and parking lots.
  • Organize the vectorized objects in layers.
Pix4Dsurvey_Demo_suburban.jpg
General project information
Project
Location Denver, Colorado, US
Average Ground Sampling Distance (GSD) 1.13 cm / 0.44 in
Area covered 0.041 km2 / 4.1 ha / 0.02 sq. mi. / 10.17 acres
Output coordinate system NAD 1983 StatePlane Colorado Central FIPS 0502 Feet
Vertical Coordinate System: EGM 96
Image acquisition
UAV DJI Phantom 4 Pro
Image acquisition plan 1 flight, double grid flight plan
Camera DJI Phantom 4 Pro
Images
Number of images 188
Image size 5472x3648
Image geolocation coordinate system WGS84
Download project files

The dataset can be downloaded here (1.6 GB)

The downloaded compressed .zip file contains the following files and folders:

  • imagesRGB images in JPG format
  • pointclouds: point clouds in a Pix4Dsurvey point cloud format (.bpc).
  • Pix4Dsurvey_Suburban_Area: Pix4Dsurvey project file.
Instructions
Open the .p4s Pix4Dsurvey project file

This section describes how to open the .p4s project to set it up for vectorization.

 
Access: To download Pix4Dsurvey click here.
  1. Open Pix4Dsurvey.
  2. Drag and drop Pix4Dsurvey_Suburban_Area on the screen. More options in the Project management article.

Once the import is completed both the point clouds and calibrated images will be displayed. You are ready to start vectorizing the project.

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2 comments

  • William Miles

    Is it known how long the complete flight took for this project? And so I don't create an unnecessary thread, what overlap did you guys use for this site? The recommended 85% frontal and 70% side overlap? If increasing the overlap even further, would this extend the flight time for this site significantly? 

    Thanks!

  • Blaž (Pix4D)

    Hi William, 

    In the Suburban area dataset, the following was used:

    • DJI Phantom 4 Pro
    • Pix4Dcapture 
    • Double grid mission
    • GSD ≈ 1.1 cm / 0.44 in
    • Overlap ≈ 80 % frontal, 70 %side
    • Time flight ≈ 17 minutes

    Increasing the overlap has a direct impact on flight time and you might need to do a multi-battery flight to complete it.

    What kind of area do you plan to fly and what kind of features do you want to appear in the reconstructed point cloud? If curbs need to be reconstructed in the point cloud then we recommend that you fly lower than usual. For example, with Phantom 4 Pro the flight height would be approximately 40 m / 130 ft.

    Best,

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