<aside> 💡 History of Scout Releases
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February 10, 2025
Major Feature Updates
Goals
Efficiently detect and analyze statistically significant changes between two LiDAR point clouds, even when captured under different environmental conditions, using various sensors, and exhibiting variations in data density and quality. This advanced feature is designed to support both airborne and terrestrial LiDAR scans, making it ideal for applications in environmental monitoring, infrastructure assessment, land surveying, urban planning, mining and forestry analysis. By leveraging robust statistical algorithms, this tool ensures accurate and reliable change detection, helping users make data-driven decisions.
Input
Two LAS-format point clouds
Output Point clouds with the color changes draped over both point clouds.