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Locating Trees and Crowns in the Point Cloud
Locating Trees and Crowns in the Point Cloud
Updated over a week ago

Want to identify trees and crowns in your point cloud data effortlessly? SpatialScale’s tree and crown locating tool makes this a breeze. Here’s how to use it!

Step 1: Access the Tree and Crown Locating Tool

First, log in to your SpatialScale account and navigate to the tree and crown locating tool. You’ll find it right in the interface, ready to go.

Step 2: Set the Minimum Tree Height

Use the slider to set the minimum tree height. You can either drag the slider or type in the height manually. For example, set it to 3 meters to focus on larger trees.

Step 3: Name Your Output Datasets

  • Trees Dataset Name: Give your trees dataset a clear, descriptive name, so it’s easy to find later.

  • Crowns Dataset Name: Do the same for the crowns dataset—pick a name that makes sense for your project.

Step 4: Submit and Review

Once you’ve set everything up, click “Submit” to start the tree and crown locating process. After it’s done, review the results to ensure accuracy.

Tips for Best Results

  • Correct Classification: Ensure your datasets are properly classified to improve the accuracy of tree and crown detection.

  • Adjust Tree Height: Set the minimum tree height based on your specific analysis needs.

  • Review the Output: Always double-check the results to verify the accuracy of located trees and crowns.

By following these steps, you’ll be able to efficiently identify trees and crowns in your point cloud data, making your analysis more effective and informed.

For more detailed instructions or if you run into any issues, visit our Help Center or contact us at [email protected]. Ready to start locating trees? Explore the tool on the platform.

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