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      Example projects - real photogrammetry data

      Get started with real photogrammetry sample data acquired with drones or UAV and create 2D and 3D outputs.

      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 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.

      IN THIS ARTICLE

      PIX4Dmapper example projects
      PIX4Dmatic example projects
      PIX4Dfields example projects
      PIX4Dsurvey example projects
      PIX4Dreact example projects
      Open Photogrammetry Format (OPF) example projects

      For more inspiration, check out our Community Hall of Fame.

      LOGO_KB_Demo_Projects_Mapper.pngPIX4Dmapper example projects

      Quarry

      Download dataset or view in PIX4Dcloud

       

      The goal of this project is to generate a DSM and an Orthomosaic of a quarry using an eBee drone with a SenseFly S.O.D.A.
      quarry_raster_dsm.png

       

      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 5.40 cm / 2.13 in
      Area covered 0.5776 km2 / 57.7565 ha / 0.223 sq. mi. / 142.79 acres
      Output coordinate system CH1903 / LV03
      Geoid Height Above Bessel 1841. Ellipsoid = 0 meters
      Image acquisition  
      UAV eBee Classic (senseFly)
      Image acquisition plan 1 flight, double grid flight plan
      Camera senseFly S.O.D.A.
      Images  
      Number of images 347
      Image size 5472x3648
      Image geolocation coordinate system WGS84
      GCPs  
      Number of GCPs 9 3D GCPs
      GCPs coordinate system CH1903 / LV03

       

      Download project files

      The dataset can be downloaded here and can be found processed on PIX4Dcloud here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format
      • inputs/gcp_overview: images that help to identify each GCPs
      • inputs/gcpPositionsXYZ_EPSG21781.csv: GCP input geolocation file.
      • example_quarry_2.p4d: project file that can be opened in PIX4Dmapper.

       

      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate the DSM and the Orthomosaic of a quarry.

      1. Open the project example_quarry_2.p4d.
      2. On the menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate the DSM and the Orthomosaic, and as it has been taken using aerial nadir images, the template used for the Processing has been set to 3D Maps. This can be seen in Process > Processing Options....
       

      3. On the Processing bar, click Start to start the processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate the DSM and the Orthomosaic of a quarry.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the Menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type example_quarry_2.
      5. (optional) In Create In: click Browse..., and in the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.
      10. Click Next.

      The New Project wizard displays the Image Properties window. The image geolocation is automatically loaded from the image EXIF data and is given in WGS84 (latitude, longitude, altitude) coordinates with vertical coordinate system given by a Geoid Height Above WGS 84 Ellipsoid of 0 meters. The camera model is loaded from the camera model database (S.O.D.A._10.6_5472x3648 (SI002001AA7C00213) (RGB).).

      11. Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      12. Select Known Coordinate System CH1903 / LV03.
      13. Select Advanced Coordinate Options and under Vertical Coordinate System select Geoid Height Above Bessel 1841 Ellipsoid. Set the value to 0.
      14. Click Next.

      The New Project wizard displays the Processing Options Template window.

      15. Click 3D Maps to select the template.

       
      Note: As the goal of this project is to generate the DSM and the Orthomosaic, and as it has been taken using aerial nadir images, the template to be selected is the 3D Maps.
       

      16. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.

       

      B) Introduce and mark the GCPs:

      1. On the Menu bar, click Project > GCP/MTP Manager....
      2. Click Import GCPs....
      8. On the Import Ground Control Points window, under Coordinates Order, select X, Y, Z option.
      9. On the Import Ground Control Points windows, click Browse, select the GCP file gcpPositionsXYZ_EPSG21781.csv from the inputs folder and click OK.
      10. On the Import Ground Control Points windows, click OK.

      The GCPs and their coordinates are imported and can be visualized in the GCP/MTP Manager window.

      11. On the GCP/MTP Manager window click OK.
      12. On the Processing bar select 1. Initial Processing, deselect 2. Point Cloud and Mesh and 3. DSM, Orthomosaic and Index.
      13. On the Processing bar, click Start to start the processing.

      When step 1. Initial Processing is finished the rayCloud opens.

      14. Mark the GCPs using the rayCloud following instructions 2. to 11. as described here How to import and mark ground control points (GCPs). The images in the folder inputs/gcp_overview help to identify the GCPs should be marked.

       

      C) Generate the DSM and Orthomosaic

      When the GCPs are marked and the project is re-optimized.

      1. On the Processing bar, deactivate 1. Initial Processing and activate 2. Point Cloud and Mesh and 3. DSM, Orthomosaic and Index.
      2. On the Processing bar, click Start to start the processing.

      Building

      Download dataset or view in PIX4Dcloud

       

      The goal of this project is to generate the 3D model of a building taken by an AscTec Falcon 8 UAV.

      Building_DJI.png

       

      General project information  
      Project  
      Location Germany
      Average Ground Sampling Distance (GSD) 1.89 cm / 0.7 in
      Area covered Undefined
      Output coordinate system WGS84 / UTM zone 32N
      Vertical Coordinate System: MSL egm96
      Image acquisition  
      UAV AscTec Falcon 8 UAV (Ascending Technologies)
      Image acquisition plan 1 flight, circular flight around the building
      Camera Sony NEX-5 (RGB)
      Images  
      Number of images 36
      Image size 4592x3056
      Image geolocation coordinate system WGS84
      GCPs  
      Number of GCPs None
      GCPs coordinate system None

       

      Download project files

      The dataset can be downloaded here and can be found processed on PIX4Dcloud here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format.
      • example_building.p4d: project file that can be opened in PIX4Dmapper.

       

      Instructions
      Process the dataset using the included .p4d project file

      To process the dataset in order to generate the 3D model of a building:

      1. Open the project example_building.p4d by double clicking it.
      2. On the Menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate only the 3D model (no DSM and orthomosaic), the template used for the processing has been set to 3D Models. This can be seen in Process > Processing Options... .
       

      3. On the Processing bar, click Start to start the processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate a 3D model of a building.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the Menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type example_building.
      5. (optional) In Create In: click Browse..., and in the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.
      10. Click Next.

      The New Project wizard displays the Image Properties window. The image geolocation is automatically loaded from the image EXIF data and is given in WGS84 (latitude, longitude, altitude) coordinates with vertical coordinate system given by MSL egm96. The camera model is loaded from the camera model database (NEX-5_E16mmF2.8_16.0_4592x3056 (RGB)).

      11.Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      12. Under Unit, select m.
      13. Select Auto Detected.
      14. Select Advanced Coordinate Options and under Vertical Coordinate System select MSL > egm96.

      The New Project wizard displays the Processing Options Template window.

       
      Note: As the goal of this project is to generate only the 3D model (no DSM and orthomosaic), and as it has been taken using terrestrial images, the template to be select is the 3D Models template.
       

      15. Select the 3D Models template.
      16. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.

      B) Process the project:

      1. On the Processing bar, click Start to start the processing.

       

      Cadastre

      Download dataset or view in PIX4Dcloud

       

      The goal of this project is to generate the DSM and the Orthomosaic of a village using a Canon IXUS 120IS.
      cadastre_point_cloud.png

       

      General project information  
      Project  
      Location Switzerland
      Average Ground Sampling Distance (GSD) 5.1 cm / 2 in
      Area covered 0.2128 km2 / 21.2822 ha / 0.0822 sq. mi. / 52.6167 acres
      Output coordinate system WGS84 / UTM zone 32N
      Vertical Coordinate System: Geoid Height Above WGS 84 Ellipsoid = 0 meters
      Image acquisition  
      UAV swinglet CAM (senseFly)
      Image acquisition plan 1 flight, grid flight plan
      Camera Canon IXUS 120IS (RGB)
      Images  
      Number of images 68
      Image size 4000x3000
      Image geolocation coordinate system WGS84
      GCPs  
      Number of GCPs None
      GCPs coordinate system None

       

      Download project files

      The dataset can be downloaded here and can be found processed on PIX4Dcloud here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format
      • example_cadastre.p4d: project file that can be opened in PIX4Dmapper.

       

      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate the DSM and the Orthomosaic of a village.

      1. Open the project example_cadastre.p4d.
      2. On the Menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate the DSM and the Orthomosaic, and as it has been taken using aerial nadir images, the template used for the processing has been set to 3D Maps. This can be seen in Process > Processing Options....
       

      3. On the Processing bar, click Start to start the processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate the DSM and the Orthomosaic of a village.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the Menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type example_cadastre.
      5. (optional) In Create In: Click Browse, and in the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.
      10. Click Next.

      The New Project wizard displays the Image Properties window.  The image geolocation is automatically loaded from the image EXIF data. The coordinate system is automatically set to WGS84 with vertical coordinate system given in MSL egm96. As the image geolocation is given in WGS 84 with vertical coordinates system in Geoid Height Above WGS 84 Ellipsoid = 0, the coordinate system has to be changed.

      11. On the Image Geolocation > Coodinate System clickEdit....
      12. On the Select Image Coordinate System window, select Known Coordinate System with coordinate system WGS 84.
      13. On the Select Image Coordinate System window, select Advanced Coordinate Options, and under Vertical Coordinate System select Geoid Height Above WGS 84 Ellipsoid. Set the value to 0.
      14. On the Select Image Coordinate System window, click OK.

      In the Image Properties window, the camera model is loaded from the camera model database (CanonDIGITALIXUS120IS_5.0_4000x3000 (RGB)).

      15. Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      16. Select Auto Detected.
      17. Select Advanced Coordinate Options and under Vertical Coordinate System select Geoid Height Above WGS 84 Ellipsoid. Set the value to 0.
      18. Click Next.

      The New Project wizard displays the Processing Options Template window.

      19. Click 3D Maps to select the template.

       
      Note: As the goal of this project is to generate the DSM and the Orthomosaic, and as it has been taken using aerial nadir images, the template to be selected is the 3D Maps template.
       

      20. Click Finish to finish the wizard and create the project. The Processing window opens at the bottom of the main window.

      B) Process the project:

      1. On the Processing bar, click Start to start the processing.

      Construction dataset

      Download dataset

       

      The goal of this project is to get an orthomosaic and a 3D point cloud of construction site.

      BIM_img.png

      BIM_img1.png

       

      General project information  
      Project  
      Location Switzerland
      Average Ground Sampling Distance (GSD) 1.83 cm / 0.72 in
      Area covered 0.1326 km2 / 13.2612 ha / 0.0512 sq. mi. / 32.786 acres
      Output coordinate system WGS84 / UTM zone 32N
      Vertical Coordinate System: Geoid Height Above WGS 84 Ellipsoid = 0 meters
      Image acquisition  
      UAV eBee Classic
      Image acquisition plan 1 flight, grid flight plan
      Camera S.O.D.A 10.2 (RGB)
      Images  
      Number of images 197
      Image size 5472x3648
      Image geolocation coordinate system WGS84
      GCPs  
      Number of GCPs None
      GCPs coordinate system None

       

      Download project files

      The dataset can be downloaded here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format.
      • bim_dataset.p4d: project file that can be opened in PIX4Dmapper

       

      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate an orthomosaic.

      A) Process the project:

      1. Open the project bim_dataset.p4d by double clicking on the file.
      2. On the menu bar, click View > Processing. The Processing window opens at the bottom of the main window.

       
      Note: As this project's goal is to generate an orthomosaic for a construction site, the 3D Maps template has been selected.
       

      3. On the Processing window, click Start to start the processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate an orthomosaic for the whole project.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type bim_dataset.
      5. (Optional) In Create In: Click on Browse, and on the Select Project Location pop-up window, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder with the same name as the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (Optional) Activate the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.

      10. Click Next.

      The New Project wizard displays the Image Properties window. The image geolocation it is already set in the Image Properties window under section Image Coordinate System and does not need to be changed. The image geolocation is loaded. The camera model is loaded from the camera model database (S.O.D.A_10.2_5472x3648 (RGB)).

      11. Click Next.

      The New Project wizard displays the Processing Options Template window.

      12. On the left of the window, select the 3D Maps template.
      13. Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      14. Under Unit, select m.
      15. Select Auto Detected.
      16. Select Advanced Coordinate Options and under Vertical Coordinate System select Geoid Height Above WGS 84 Ellipsoid. Set the value to 0.
      17. Click Finish to finish the wizard and create the project. The Processing window opens at the bottom of the main window.

      B) Process the project:

      1. On the menu bar, click Process > Processing Options... to open the Processing Options window.
      2. On the Processing window, click Start to start the processing.

      Once processing is finished, the Orthomosaic can be visualized and modified in the Mosaic Editor.

      Eagle statue – Handheld camera

      Download dataset

       

      The goal of this project is to generate the 3D model of the statue of an eagle by taking images from the ground using a Canon EOS 7D with perspective lens.
      eagle_statue_mesh.png

       

      General project information  
      Project  
      Location Switzerland
      Average Ground Sampling Distance (GSD) Undefined
      Area covered Undefined
      Output coordinate system Arbitrary
      Image acquisition  
      UAV None
      Image acquisition plan 2 walks around the statue, each at a different altitude
      Camera Canon EOS 7D (RGB)
      Images  
      Number of images 44
      Image size 5184x3456
      Image geolocation coordinate system None
      GCPs  
      Number of GCPs None
      GCPs coordinate system None

       

      Download project files

      The dataset can be downloaded here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format.
      • example_eagle.p4d: project file that can be opened in PIX4Dmapper

       

      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate the 3D model of the statue of an eagle.

      1. Open the project example_eagle.p4d by double clicking it.
      2. On the Menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate only the 3D model (no DSM and Orthomosaic), and as it has been taken using terrestrial images, the template used for the Processing has been set to 3D Models. This can be seen in Process > Processing Options... 
       

      3. On the Processing bar, click Start to start the processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate the 3D model of the statue of an eagle.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type example_eagle.
      5. (optional) In Create In: Click on Browse, and on the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.
      10. Click Next.

      The New Project wizard displays the Image Properties window. No image geolocation is detected. The camera model is loaded from the camera model database (CanonEOS7D_EF-S15-85mmf/3.5-5.6ISUSM_15.0_5184x3456 (RGB)).

      11. Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      12. Select Arbitrary Coordinate System with Unit meters.
      13. Click Next.

      The New Project wizard displays the Processing Options Template window.

       
      Note: As the goal of this project is to generate only the 3D model (no DSM and orthomosaic), and as it has been taken using terrestrial images, the template to be selected is the 3D Models.
       

      14. Select the 3D Models template.
      15. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.

      B) Process the project:

      1. On the Processing bar, select 1. Initial Processing, and deselect 2. Point Cloud and Mesh.
      2. On the Processing bar, click Start to start the processing.

      When Initial Processing finishes, the rayCloud opens.

      3. Use the rayCloud to define a Processing Area to remove noisy points from the background and to keep only points of the statue. For more information about how to draw a Processing Area with the rayCloud: How to use a processing area in PIX4Dmapper Desktop.

       
      Note: The Processing Area used:

      eagle_PointCloudDensArea.jpg

       

      4. Edit the Processing Area such that the height adjusts to the height of the statue. For more information about how to edit a Processing Area with the rayCloud: How to edit a processing area in the rayCloud.

       
      Note: In the above Processing Area, the Maximum and Minimum Altitude are set to 50.00 [m] and -100.00 [m] respectively.
       

      5. On the Processing bar, deselect 1. Initial Processing, and select 2. Point Cloud and Mesh.
      6. On the Processing bar, click Start to start processing.

       

       

      Forensic

      Download dataset

       

      The goal of this project is to generate the Point Cloud and the 3D Textured Mesh of a forensic scene.
      forensic_point_cloud.png

       

      General project information
      Project
      Location USA
      Average Ground Sampling Distance (GSD) 0.24 cm / 0.09 in
      Output coordinate system WGS84 / UTM zone 17N
      Image acquisition
      UAV DJI Phantom 3 Advanced
      Image acquisition plan 1 flight, circular flight around the scene
      Camera FC300 X (RGB)
      Images
      Number of images 69
      Image size 4000x3000
      Image geolocation coordinate system WGS84 
      GCPs
      Number of GCPs None
      GCPs coordinate system None

       

      Download project files

      The dataset can be downloaded here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format.
      • example_forensic.p4d: project file that can be opened in PIX4Dmapper.

       

      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate the 3D model of a building.

      1. Open the project example_forensic.p4d by double clicking it.
      2. On the Menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate the point cloud and the 3D model (no DSM and orthomosaic) and as it has been taken using oblique images, the template used for the processing has been set to 3D Models. This can be seen in Process > Processing Options... .
       

      3. On the Processing bar, click Start to start the processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate a 3D model of a building.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the Menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type example_building.
      5. (optional) In Create In: click Browse..., and in the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.
      10. Click Next.

      The New Project wizard displays the Image Properties window. The image geolocation is automatically loaded from the image EXIF data and is given in WGS84 (latitude, longitude, altitude) coordinates with vertical coordinate system given at Geoid Above Ellipsoid=0 m. The camera model is loaded from the camera model database (FC300X_3.6_4000x3000 (RGB)).

      11.Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      12. Under Unit, select m.
      13. Select Auto Detected.
      14. Select Advanced Coordinate Options and under Vertical Coordinate System select Geoid Above Ellipsoid=0.

      The New Project wizard displays the Processing Options Template window.

       
      Note: As the goal of this project is to generate the point cloud and the 3D model (no DSM and orthomosaic), and as it has been taken using oblique images, the template to be select is the 3D Models template.
       

      15. Select the 3D Models template.
      16. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.

      B) Process the project:

      1. On the Processing bar, click Start to start the processing.

       

      Indoor mapping – Spherical camera

      Download dataset

       

      The goal of this project is to generate the 3D model of a church taken by an NCTech iSTAR spherical camera.
      indoor_mapping_spherical.jpg

       

      General project information
      Project
      Location "The Church of Santiago", located in Betanzos (A Coruña, Spain)
      Average Ground Sampling Distance (GSD) Undefined
      Area covered Undefined
      Output coordinate system Arbitrary Coordinate System 
      Image acquisition
      UAV None
      Image acquisition plan 2 walks in the church
      Camera NCTech iSTAR
      Images
      Number of images 8
      Image size 10000x5000
      Image geolocation coordinate system Arbitrary Coordinate System
      GCPs
      Number of GCPs None
      GCPs coordinate system None

       

      Download project files

      The dataset can be downloaded here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format.
      • example_spherical.p4d: project file that can be opened in PIX4Dmapper.

       

      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate the 3D model of a building.

      1. Open the project example_spherical.p4d by double clicking it.
      2. On the Menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate only the 3D model (no DSM or Orthomosaic), the template selected for processing is 3D Models. This can be seen in Process > Processing Options... .
       

      3. On the Processing bar, click Start to start the processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate a 3D model of a building.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the Menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example, type example_spherical.
      5. (optional) In Create In: click Browse..., and in the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.
      10. Click Next.

      The New Project wizard displays the Image Properties window. No image geolocation is detected.  The camera model is loaded from the camera model database (iSTAR_2.7_10000X5000(RGB)).

      11.Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      12. Select Arbitrary Coordinate System with Unit meters.
      13. Click Next.

      The New Project wizard displays the Processing Options Template window.

       
      Note: As the goal of this project is to generate only a 3D model (no DSM or orthomosaic), the template selected for processing is 3D Models.
       

      14. Select the 3D Models template.
      15. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.

      B) Process the project:

      1. On the Processing bar, click Start to start the processing.

      C) Improve the project:

      To improve the results of the Densified Point Cloud and the 3D Textured mesh, the following Processing Options can be selected:

      1. On the Menu bar click Process > Processing Options...
      2. Select the processing step 1. Initial Processing.
      3. Select the tab General.
      4. In the section Keypoints Image Scale, select Custom and from the drop down list select 1 (Original Image size).

       
      Note: This selection allows to extract the keypoints using the original image size.
       

      5. In the Processing Options window click 2. Point Cloud and Mesh.
      6. Select the tab Point Cloud.
      7. In the Point Cloud Densification section click the drop-down list Image scale and select 1 (Original Image size, Slow) and from the drop-down list Point Density select High (Slow).

       
      Note: The original image size is used to compute additional 3D points. More points are computed especially in areas where features can be easily matched. By selecting High Point Density, a 3D point will be computed for every Image Scale pixel. For more information about the Processing Options: Menu Process > Processing Options... > 2. Point Cloud and Mesh > Point Cloud.
       

      8. Click OK.
      9. On the Processing bar, click Start to start the processing.

       

      Industrial building – Parrot Bebop 2

      Download dataset or view in PIX4Dcloud

       

      The goal of this project is to get a 3D model of industrial building. Images were acquired with Parrot Bebop 2 using PIX4Dcapture.
      industrial_building_bebop2.png

       

      General project information
      Project
      Location Nantes, France
      Average Ground Sampling Distance (GSD) 9.25 cm / 3.64 in
      Area covered 0.0113 km2 / 1.13 ha / 0.0043 sq. mi. / 2.79 acres
      Output coordinate system WGS84 / UTM zone 30N
      Vertical Coordinate System: MSL egm96
      Image acquisition
      UAV Parrot Bebop 2
      Image acquisition software PIX4Dcapture
      Image acquisition plan Grid Mission and Circular Mission
      Camera Bebop 2 camera
      Images
      Number of images 138
      Image size 4096x3320
      Image geolocation coordinate system WGS84

       

      Download project files

      The dataset can be downloaded here and can be found processed on PIX4Dcloud here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format.
      • example_bebop2_industrial_building.p4d: project file that can be opened in PIX4D Desktop.

       

      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate a 3D textured mesh of the building using Parrot Bebop 2.

      1. Open the project example_bebop2_industrial_building.p4d.
      2. On the Menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate the 3D textured mesh (no DSM and orthomosaic),  the template used for the processing has been set to 3D Models. This can be seen in Process > Processing Options...
       

      3. On the Processing bar, click Start to start processing.
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate a 3D mesh of a house.

      A) Create a new project:

      1. Start PIX4D Desktop.
      2. On the Menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type example_bebop2_industrial_building.
      5. (optional) In Create In: Click Browse, and in the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder with the same name as the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project. The folder contains the images of the grid mission and circular flight. Click Choose.
      10. Click Next.

      The New Project wizard displays the Image Properties window. The image geolocation is automatically loaded from the image EXIF data and is given in WGS84 (latitude, longitude, altitude) coordinates with vertical coordinate system given by MSL = egm96. The camera model is loaded from the camera model database (Bebop2_1.8_4096x3320 (RGB)).

      11. Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      12. Select Known Coordinate System and Advanced Coordinate Options. Click From List... button, select World Geodetic System 1984 datum and  WGS 84 / UTM zone 30N coordinate system, click OK.
      13. Under Vertical Coordinate System select MSL. Set the value to egm96.
      14. Click Next.

      The New Project wizard displays the Processing Options Template window.

      15. Click 3D Models to select the template. Click Finish to finish the wizard. The Processing bar opens at the bottom of the main window.

      B) Process the project:

      16. On the Processing bar select 1. Initial Processing and deselect 2. Point Cloud and Mesh.
      17. On the Processing bar, click Start to start processing.

       
      Note: PIX4Dmapper automatically detects the sky in the images of Bebop2 and improves the Densified Point Cloud.
       
      For more information about the Processing Options: Menu Process > Processing Options... > 1. Initial Processing > Calibration.

      When Initial Processing finishes, the rayCloud opens.

      18. Use the rayCloud to define a Processing Area to remove noisy points from the background and to keep only points of the building. For more information about how to draw a Processing Area with the rayCloud: How to use a processing area in PIX4Dmapper Desktop.

       
      Note: The Processing Area used:

      industrial_building_bebop2_processing_area.png

       

      19. Edit the Processing Area to focus on the area of interest. For more information about how to edit a Processing Area with the rayCloud: How to edit a processing area in the rayCloud.

       
      Note: In the above Processing Area, the Maximum and Minimum Altitude are set to 50.00 [m] and -10.00 [m] respectively.

      20. On the Processing bar, deselect 1. Initial Processing, and select 2. Point Cloud and Mesh.
      21. On the Processing bar, click Start to start processing.

       

      Office building – DJI

      Download dataset or view in PIX4Dcloud

       

      The goal of this project is to get a 3D model of buildings using a DJI Phantom 4 and acquiring the images with PIX4Dcapture.
      DJI_office_building_cover.png

       

      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 1.67 cm / 0.65 in
      Output coordinate system WGS84 / UTM zone 32N
      Vertical Coordinate System: MSL egm96
      Image acquisition
      UAV DJI Phantom 4
      Image acquisition software PIX4Dcapture
      Image acquisition plan Circular mission, 4° angle between images, 30m above ground.
      Camera Phantom Vision FC330
      Images
      Number of images 85
      Image size 4000x3000
      Image geolocation coordinate system WGS84

       

      Download project files

      The dataset can be downloaded here and can be found processed on PIX4Dcloud here.

      The downloaded folder contains the following files and folders:

      • images: RGB images in JPG format. The image's resolution is half the original image resolution.
      • dji_demo.p4d: project file that can be opened in PIX4Dmapper.
       
      Instructions

      This section describes how to process the dataset using the included .p4d project file in order to generate a 3D mesh of buildings.

      1. Open the project dji_demo.p4d.
      2. On the menu bar, click View > Processing. The Processing window opens at the bottom of the main window.
      3. On the Processing window, click Start to start the processing.

       
      Note: As the goal of this project is to get a 3D Model, the template used for the processing has been set to 3D Model. This can be seen in Process > Processing Options.... .
       

      Thermal

      Download dataset

       

      The goal of this project is to generate a thermal map using a FLIR Zenmuse XT thermal camera.
      thermal6.JPG
       
      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 9.24 cm / 3.64 in
      Area covered 0.035 km2 / 3.4685 ha / 0.01 sq. mi. / 8.5753 acres
      Output coordinate system WGS84 / UTM zone 32N
      Vertical Coordinate System: Geoid Height Above WGS 84 Ellipsoid = 0 meters
      Image acquisition
      UAV DJI Inspire 1
      Image acquisition plan 2 flights, grid flight plan (90%-90% overlap)
      Camera FLIR Zenmuse XT (Thermal)
      Images
      Number of images 152
      Image size 640x512
      Image geolocation coordinate system WGS84
      GCPs
      Number of GCPs No GCPs
      GCPs coordinate system  
       
      Download project files

      The dataset can be downloaded here.

      The downloaded folder contains the following files and folders:

      • images: Thermal images in RJPG format
      • thermal.p4d: project file that can be opened in PIX4Dmapper.

        

       Note: Information on how to process thermal images can be found: here
       
      Instructions
      Process the dataset using the included .p4d project file

      This section describes how to process the dataset in order to generate the thermal map of the area.

      1. Open the project thermal.p4d
      2. On the menu bar, click View > Processing. The Processing bar opens at the bottom of the main window.

       
      Note: As the goal of this project is to generate the thermal map, the template used for the Processing has been set to Thermal Camera. This can be seen in Process > Processing Options....
       
      Please make sure you also check the thermal_ir index:
      thermal2.JPG

      3. On the Processing bar, click Start to start the processing.

       
      Process the dataset creating a new project

      This section describes how to create and process a project in order to generate the thermal map.

      A) Create a new project:

      1. Start PIX4Dmapper.
      2. On the Menu bar, click Project > New Project....
      3. The New Project wizard opens.
      4. In Name: Type a name for the project. In this example type thermal.
      5. (optional) In Create In: click Browse..., and in the Select Project Location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

       
      Note: When the project is created, a folder named after the project name typed in the Name field will be created in the selected folder and will store all the results. The .p4d project file will also be stored in this folder.
       

      6. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
      7. In the section Project Type, keep selected the default option New Project.
      8. Click Next.

      The New Project wizard displays the Select Images window.

      9. Click Add Directories... and select the images folder to add the images to the project.
      10. Click Next.

      As the images are RJPG, the software will automatically convert them to thermal TIFF images and they will be stored in a folder called Converted. Those are the images that the software will use for processing.

      The New Project wizard displays the Image Properties window. The image geolocation is automatically loaded from the image EXIF data and is given in WGS84 (latitude, longitude, altitude) coordinates with vertical coordinate system given by a Geoid Height Above WGS 84 Ellipsoid of 0 meters. The camera model is loaded from the camera model database (FLIR Zenmuse XT (Thermal)).

      11. Click Next.

      The New Project wizard displays the Select Output Coordinate System window. By default the last output coordinate system selected in the software is selected.

      12. Select Auto Detected.
      13. Select Advanced Coordinate Options and under Vertical Coordinate System select Geoid Height Above WGS 84 Ellipsoid. Set the value to 0.
      14. Click Next.

      The New Project wizard displays the Processing Options Template window.

      15. Click Thermal camera to select the template and check the thermal_ir index to be generated.

      16. Click Finish to finish the wizard and create the project. The Processing bar opens at the bottom of the main window.

      17. Run Step1, Step2 and Step3

      18. Check/Visualize the thermal map. We recommend using Equal Spacing and 24 number of classes:

      thermal5.JPG
       
       

      LOGO_KB_Demo_Projects_Matic.pngPIX4Dmatic example projects

      Industrial zone and agriculture area

      Download dataset

       

      The goal of this project is to:

      • Import images into PIX4Dmatic.
      • Import and mark ground control points (GCPs).
      • Process the project and generate the dense point cloud, DSM, and orthomosaic.

      Pix4Dmatic_demo_dataset.jpg

      This dataset with 1469 images (senseFly, AeriaX) and 8 GCPs contains an industrial zone, suburban houses, and the surrounding agriculture area. The dense point cloud, images, and GCPs are displayed in the 3D view.

       

      Information: The example project of 1469 images is a subset of a larger dataset of 10615 images. The image acquisition of the whole dataset was done using 4 eBee X - senseFly drones flying simultaneously. The flight planning software eMotion was used.

      To download the whole dataset contact the Pix4D Support team (a valid license of a Pix4D product is required, a trial license is considered valid).

       

      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 2.28 cm / 0.9 in
      Area covered 1.154 km2 / 115.4 ha / 0.446 sq. mi. / 285.3 acres
      Output coordinate system WGS 84 / UTM zone 32N - EPSG 32632, WGS 84 ellipsoid
      Image acquisition
      UAV eBee X (senseFly)
      Image acquisition plan 4 flights, single grid flight plan
      Camera senseFly AeriaX
      Images
      Number of images 1469
      Image size 6000 x 4000 pixels
      Image geolocation coordinate system WGS84 - EPSG 4326, WGS 840 ellipsoid
      Ground control points (GCPs)
      Number of GCPs 8
      GCPs coordinate system WGS84 - EPSG 4326, WGS 84 ellipsoid

       

      Download project files

      The dataset can be downloaded here (14.7 GB).

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

      • Images_subset_1469: RGB images in .JPG format.
      • root.p4m: PIX4Dmatic project file.
      • Pix4Dmatic_example_GCPs_EPSG_4326_ellipsoid.txt: GCP input geolocation file.

       

      Instructions
      Open the .p4m PIX4Dmatic project file

      This section describes how to open the .p4m project.

       
      Access: To download PIX4Dmatic click here.
       
      1. Open PIX4Dmatic.
      2. Click File on the menu bar.
      3. Click Open...
      4. On the pop-up Open Project, specify the location of the root.p4m file and click Open.
      5. (Optional) If images are not displayed in the Image panel:
        • Right-click on the image in the Image panel.
        • Click Find images...
        • In the Missing images dialog, click Find, specify the location of the image folder, and click Select folder.

      Once the project is successfully imported, the images and GCPs appear in the 3D view.

      Urban area

      Download dataset

       

      The goal of this project is:

      • Import images into PIX4Dmatic.
      • Import and mark ground control points (GCPs).
      • Process the project and generate the dense point cloud, DSM, and orthomosaic.

      Pix4Dmatic demo dataset 100 images

      The dataset with 100 images (senseFly, AeriaX) and 3 GCPs was flown over a town. The dense point cloud, images, and GCPs are displayed in the 3D view.

       

      Information: The example project of 100 images is a subset of a larger dataset of 10615 images. The image acquisition of the whole dataset was done using 4 eBee X - senseFly drones flying simultaneously. The flight planning software eMotion was used.

      To download the whole dataset contact the Pix4D Support team (a valid license of a Pix4D product is required, a trial license is considered valid).

       

      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 2.41 cm / 0.95 in
      Area covered 0.0214 km2 / 2.14 ha / 0.008 sq. mi. / 5.3 acres
      Output coordinate system WGS 84 / UTM zone 32N - EPSG 32632, WGS 84 ellipsoid
      Image acquisition
      UAV eBee X (senseFly)
      Image acquisition plan 1 flight, single grid flight plan
      Camera senseFly AeriaX
      Images
      Number of images 100
      Image size 6000 x 4000 pixels
      Image geolocation coordinate system WGS84 - EPSG 4326, WGS 84 ellipsoid
      Ground control points (GCPs)
      Number of GCPs 3
      GCPs coordinate system WGS84 - EPSG 4326, WGS 84 ellipsoid
      Type of GCPs
      • cp12 - Tip of the arrow (parking lot) 

        GCP_3_Example_Dataset_PIX4Dmatic.png

      • cp19 - Checkered pattern GCP-1
      • cpe003 - Checkered pattern GCP-1

       

      Download project files

      The dataset can be downloaded here (0.99 GB).

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

      • Images_subset_100: RGB images in .JPG format.
      • root.p4m: PIX4Dmatic project file.
      • Pix4Dmatic_example_100_GCPs_EPSG_4326_ellipsoid.txt: GCP input geolocation file.
       
      Instructions
      Open the .p4m PIX4Dmatic project file

      This section describes how to open the .p4m project.

       
      Access: To download PIX4Dmatic click here.
       
      1. Open PIX4Dmatic.
      2. Click File on the menu bar.
      3. Click Open...
      4. On the pop-up Open Project, specify the location of the root.p4m file and click Open.
      5. (Optional) If images are not displayed in the Image panel:
        • Right-click on the image in the Image panel.
        • Click Find images...
        • In the Missing images dialog, click Find, specify the location of the image folder, and click Select folder. 

      Once the project is successfully imported, the images and GCPs appear in the 3D view.
       

      PIX4Dcatch project

      Download dataset

       

      The goal of this project is:

      • Import project into PIX4Dmatic.
      • Utilize available LiDAR depth data.
      • Process the project and generate a fused dense point cloud, DSM, and orthomosaic.

      PIX4Dmatic processed PIX4Dcatch dataset results

      The dataset contains 300 image files, plus LiDAR depth data (Confidence.tiff and DepthMap.tiff files) capturing a rainwater harvesting installation. The Dense/Depth/Depth & dense fusion point clouds and camera positions are displayed in the 3D view.

       

      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 0.3 cm / 0.13 in
      Area covered 175 m2 / 0.0175 ha / 0.043 acres
      Output coordinate system WGS 84 / UTM zone 32N - EPSG 32632, WGS 84 ellipsoid
      Image acquisition
      Device iPad Pro 11"
      Image acquisition plan Terrestrial, circular
      Camera iPad Pro w/LiDAR
      Images
      Number of images 300
      Image size 1920 x 1440 pixels
      Image geolocation coordinate system WGS84 - EPSG 4326, WGS 84 ellipsoid
       
      Download project files

      The dataset can be downloaded here (367 MB).

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

      • PIX4Dmatic_example_300_images_LiDAR_inputs: RGB images in .jpg format. Confidence and DepthMap files in .tiff format.
      • root.p4m: PIX4Dmatic project file.
       
      Instructions
      Open the .p4m Pix4Dmatic project file

      This section describes how to open the .p4m project.

       
      Access: To download PIX4Dmatic click here.
      1. Open PIX4Dmatic.
      2. Click File on the menu bar.
      3. Click Open...
      4. On the pop-up Open Project, specify the location of the root.p4m file and click Open.

      To process the project, it is necessary to Find images... first:

        • Click the Image viewer icon Image_viwer_icon_PIX4Dmatic_blueBG.jpg in the upper right.
        • Right-click on any blank image in the Image viewer.
        • Click Find images...
        • In the Find images dialog, click the Find button find_button.jpg to specify the location of the PIX4Dmatic_example_300_images_LiDAR_inputs folder, and click Select folder.
        • Click OK.

      For more information: How to process PIX4Dcatch datasets in PIX4Dmatic.

       

      LOGO_KB_Demo_Projects_Fields.pngPIX4Dfields 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.
      fields_msp.png

       

      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

      The dataset can be downloaded here.

      The downloaded folder contains the following files and folders:

      • Images: Red, Green, Red edge and NIR images in TIFF format.
      • Boundary: project file that can be opened in PIX4Dfields.

      Start a new project in PIX4Dfields
      To begin processing the dataset, follow the guide My first vegetation index map - PIX4Dfields

       

      Rostock S.O.D.A. RGB camera

      Download dataset

       

      The goal of this project is to get an VARI index map of a field using the S.O.D.A camera that captures Red, Green, Blue wavelengths.
      fields_rgb.png

       

      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

      The dataset can be downloaded here.

      The downloaded folder contains the following files and folders:

      • Images: Red, Green, Blue images in JPG format.
      • Boundary: project file that can be opened in PIX4Dfields.

      Start a new project in PIX4Dfields
      To begin processing the dataset, follow the guide My first vegetation index map - PIX4Dfields.

      LOGO_KB_Demo_Projects_Survey.pngPIX4Dsurvey example projects

      PIX4Dmapper project with 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.png

       

      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:

      • images: RGB 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.
       

      LOGO_KB_Demo_Projects_React.pngPIX4Dreact example projects

      Bahamas hurricane damage 

      Download images

      This project aims to generate a fast mapping after a disaster using PIX4Dreact
      Bhamas.png

       

      General project information
      Project
      Location Bahamas
      Average Ground Sampling Distance (GSD) 2 cm
      Area covered 20 ha
      Image acquisition
      Image acquisition plan Grid flight plan
      Camera Zenmuse X5S
      Images
      Dataset size 1.62 GB
      Number of images 181
      Image geolocation coordinate system WGS84

       

      Download the example project

      The example project can be downloaded here.

      After downloading the zip archive, this needs to be unzipped. The folder contains images in JPG format

       

       

      Belleview Avenue

      Download dataset

       

      The goal of this project is to generate a map of a residential area using the Parrot Anafi drone.
      background.jpg

       

      General project information
      Project
      Location Colorado (USA)
      Average Ground Sampling Distance (GSD) 2.64 cm / 1.04 in
      Area covered 0.12 km2 / 11.86 ha / 0.05 sq mi
      Output coordinate system WGS84 / Universal Transverse Mercator zone 13N
      Image acquisition
      UAV Parrot Anafi
      Image acquisition plan 1 flight, grid flight plan
      Camera Anafi 4K 1.5.6
      Images
      Dataset size 208 MB
      Number of images 38
      Image width 5344 pixels
      Image height 4016 pixels
      Image geolocation coordinate system WGS84

       

      Download the example project

      The example project can be downloaded here.

      After downloading the zip archive, this needs to be unzipped. The folder contains images in JPG format.

       

      Dominica hurricane damage

      Download dataset

       

      This project aims to generate a fast -mapping after a disaster using Pix4Dreact
      ExampleDataset_HurricaneDominica.jpg

       

      General project information
      Project
      Location Loubiere (Dominica)
      Average Ground Sampling Distance (GSD) 13,23 cm / 5,21 in
      Area covered 45,22 ha
      Output coordinate system WGS84 / Universal Transverse Mercator zone 20N
      Image acquisition
      Image acquisition plan grid flight plan
      Camera Zenmuse X4S
      Images
      Dataset size 1.2 GB
      Number of images 155
      Image width 9234 pixels
      Image height 5414 pixels
      Image geolocation coordinate system WGS84

       

      Download the example project

      The example project can be downloaded here.

      After downloading the zip archive, this needs to be unzipped. The folder contains images in JPG format.

       

      Open Photogrammetry Format (OPF) example projects

      Nadir drone project

      Download dataset

       

      rivaz_preview.png

       

      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

       

      Download project files

      The dataset can be downloaded here (1.74 GB).

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

      • images:RGB images in JPG format
      • dense_pcl: point cloud in gltf format.
      • project.opf + other files: OPF files.

       

      Instructions
      Import the OPF project into PIX4Dmatic

      This section describes how to import the OPF project.

       
      Access: To download PXI4Dmatic click here.
       
      1. Open PIX4Dmatic.
      2. Create a new empty project File > New (Ctrl +N), give it a name and set the path then click Start.
      3. Import OPF project by File > Import OPF project... and point it to the project.opf file
       

      Tip: You can work with OPF files also in Python, for more details check pyopf package https://github.com/Pix4D/pyopf.

      Terrestrial scan with lidar data - PIX4Dcatch

      Download dataset

       

      PIX4Dmatic processed PIX4Dcatch dataset results

       

      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 0.3 cm / 0.13 in
      Area covered 175 m2 / 0.0175 ha / 0.043 acres
      Output coordinate system WGS 84 / UTM zone 32N - EPSG 32632, WGS 84 ellipsoid
      Image acquisition
      Device iPad Pro 11"
      Image acquisition plan Terrestrial, circular
      Camera iPad Pro w/LiDAR
      Images
      Number of images 300
      Image size 1920 x 1440 pixels
      Image geolocation coordinate system WGS84 - EPSG 4326, WGS 84 ellipsoid

       

       

      Download project files

      The dataset can be downloaded here (689 MB).

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

      • Images:RGB images in JPG format.
      • dense, depth, fused, sparse: various point clouds in gltf format.
      • project.opf + other json files: OPF files.

       

       

      Instructions
      Import the OPF project into PIX4Dmatic

      his section describes how to import the OPF project.

       
      Access: To download PIX4Dmatic click here.
       
      1. Open PIX4Dmatic.
      2. Create a new empty project File > New (Ctrl +N), give it a name and set the path then click Start.
      3. Import OPF project by File > Import OPF project... and point it to the project.opf file

       

      Tip: You can work with OPF files also in Python, for more details check pyopf package https://github.com/Pix4D/pyopf.

       

       

      Terrestrial scan - PIX4Dcatch

      Download dataset

       

      olympic_flame.png

       

      General project information
      Project
      Location Switzerland
      Average Ground Sampling Distance (GSD) 0.2 cm / 0.08 in
      Area covered 82 m2 / 0.0082 ha / 0.020 acres
      Output coordinate system ETRS89 / UTM zone 32N - EPSG:25832, Ellipsoidal height over the GRS 1980 ellipsoid
      Image acquisition
      Device iPhone 13
      Image acquisition plan Terrestrial, circular
      Camera iPhone 13
      Images
      Number of images 117
      Image size 1440 x 1920 pixels
      Image geolocation coordinate system ETRS89 - EPSG:4258, Ellipsoidal height over the GRS 1980 ellipsoid

       

      Download project files

      The dataset can be downloaded here (208 MB)

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

      • images: RGB images in JPG format.
      • dense, sparse: various point clouds in gltf format.
      • project.opf + other json files: OPF files.

       

      Instructions
      Import the OPF project into PIX4Dmatic

      his section describes how to import the OPF project.

       
      Access: To download PIX4Dmatic click here.
      1. Open PIX4Dmatic.
      2. Create a new empty project File > New (Ctrl +N), give it a name and set the path then click Start.
      3. Import OPF project by File > Import OPF project... and point it to the project.opf file

       

      Industrial zone and agriculture area - OPF

      Download dataset

       

      The goal of this project is to:
      • Demonstrate the capabilities of the OPF format.

       

      Information: The example project of 135 images is a subset of a larger dataset of 10615 images. The image acquisition of the whole dataset was done using 4 eBee X - senseFly drones flying simultaneously. The flight planning software eMotion was used.

      To download the whole dataset contact the Pix4D Support team (a valid license of a Pix4D product is required, a trial license is considered valid).

       

      General project information  
      Project  
      Location Switzerland
      Average Ground Sampling Distance (GSD) 2.28 cm / 0.9 in
      Area covered 0.131 km2 / 13.1 ha / 0.05 sq. mi. / 32.37 acres
      Output coordinate system WGS 84 / UTM zone 32N - EPSG 32632, WGS 84 ellipsoid
      Image acquisition  
      Device eBee X (senseFly)
      Image acquisition plan 4 flights, single grid flight plan
      Camera senseFly AeriaX
      Images  
      Number of images 135
      Image size 6000 x 4000 pixels
      Image geolocation coordinate system WGS84 - EPSG 4326, WGS 840 ellipsoid
      Ground control points (GCPs)  
      Number of GCPs 3
      GCPs coordinate system WGS84 - EPSG 4326, WGS 84 ellipsoid
       

       

      Download project files

      The dataset can be downloaded here (2.41 GB).

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

      • OPF file format and associated files.

       

      Instructions
      Open the OPF project file 

      Access: To download PIX4Dmatic click here.

      1. Open PIX4Dmatic.
      2. Click File on the menu bar.
      3. Click Open...
      4. On the pop-up Open Project, specify the location of the project.opf file and click Open.
      5. (Optional) If images are not displayed in the Image panel:
        • Right-click on the image in the Image panel.
        • Click Find images...
        • In the Missing images dialog, click Find, specify the location of the image folder, and click Select folder.

      Once the project is successfully imported, the images and GCPs appear in the 3D view.

       

      Tip: You can work with OPF files also in Python, for more details check pyopf package https://github.com/Pix4D/pyopf.