CloudCompare : visualiser/convertir des données LIDAR

Introduction

This tutorial aims to guide you through the process of visualizing and converting LIDAR data using CloudCompare. LIDAR technology allows for accurate 3D modeling of landscapes, and utilizing CloudCompare can help you effectively analyze and manipulate this data.

Step 1: Opening LIDAR Data Files

To begin, you need to load your LIDAR data files into CloudCompare.

• Supported File Formats: Ensure your files are in .las or .laz format.
• Opening Files:
  1. Launch CloudCompare.
  2. Click on "File" in the top menu.
  3. Select "Open" and navigate to your .las or .laz file.
  4. Click "Open" to load your data into the application.

Step 2: Displaying Elevation and Color Scales

Once your data is loaded, you can visualize the elevation and apply color scales for better interpretation.

• Displaying Elevation:

  1. In the main interface, select your loaded LIDAR data.
  2. Go to the "Display" menu.
  3. Choose "Scalar Fields" and then select "Show Elevation".

• Applying Color Scales:

  1. With the data selected, navigate to the "Colors" section.
  2. Choose a color scale that enhances the visual understanding of elevation changes.

Step 3: Exploring Other Scalar Fields

CloudCompare allows you to visualize various scalar fields beyond elevation.

• Accessing Scalar Fields:
  1. Select your data point cloud.
  2. In the properties panel, find the "Scalar Fields" section.
  3. Browse through available fields such as intensity or classification.
  4. Click on any scalar field to visualize it.

Step 4: Exporting and Converting Data

After analyzing your data, you may want to export it to another format for further use or sharing.

• Exporting Data:
  1. Select the point cloud you wish to export.
  2. Click on "File" and choose "Save As".
  3. Select the desired file format from the dropdown (e.g., .las, .laz).
  4. Choose the location to save the file and click "Save".

Conclusion

You have now learned how to open LIDAR data, visualize it using elevation and color scales, explore other scalar fields, and export your findings. For further analysis, consider diving deeper into CloudCompare's features or exploring additional resources on LIDAR data processing. Happy analyzing!