Spacesium ScoutTree
GeoAi powered Vegetation Segmentation ToolScoutTree is Spacesium’s GeoAI-powered tree segmentation tool designed to accurately detect, isolate, and analyze individual trees from 3D point cloud data. By leveraging advanced machine learning and point cloud analytics, ScoutTree enables forestry managers, environmental scientists, and land management professionals to generate detailed tree inventories, assess vegetation health, and monitor canopy structure. Fully compatible with drone, LiDAR, and terrestrial scanning data, ScoutTree transforms raw geospatial inputs into actionable insights for sustainable forestry, land rehabilitation, and environmental planning.
High Speed Geoprocessing Framework
ScoutTree leverages advanced point cloud classification and object segmentation algorithms to automatically detect trees, even in complex, mixed-terrain environments.Compatible with LiDAR and drone photogrammetry data, it enables users to quickly extract canopy structure, tree counts, and spatial distribution, providing actionable insights for forestry management, environmental monitoring, and reporting.
Built for scriptable Batch Processing at scale
Leverages GeoAI with Intelligent Segmentation (iS)
Leverage the power of GeoAI with Intelligent Segmentation (iS) in ScoutTree to automatically extract vegetation metric geometry from LiDAR or drone photogrammetry datasets. Using advanced point cloud classification and object segmentation algorithms,
ScoutTree can accurately identify individual trees even in complex, mixed-terrain environments. Users can quickly extract canopy structure, tree counts, and spatial distribution, delivering actionable insights for forestry management, environmental monitoring, land rehabilitation, and reporting.
Scalable for small field surveys or large corridor and terrain datasets
ScoutTree Toolbox is designed to run at scale, making large-scale tree analysis fast and efficient. Simply configure the parameters for raw point cloud or 3D scan data, and ScoutTree handles the rest.
The system performs tiling, ground and vegetation segmentation, and automatically extracts detailed tree metrics, delivering accurate, actionable forestry and environmental insights with minimal manual effort.
Data Interoperability
All ScoutTree exports are provided in ESRI-compatible formats and text outputs, making them ideal for importing into other GIS or analysis software.
Users can visualize and export processed tree data directly into ArcGIS for mapping, spatial analysis, or reporting.
The tool integrates seamlessly into existing geospatial workflows, allowing combination with other spatial layers such as terrain, impact zones, or environmental data, providing comprehensive, actionable insights for forestry and land management.
Powerfully simple reporting
One click and PDF Reports will be generated.
Custom Enterprise Integration
Supports API-based integration into safety compliance systems, work order management, and predictive maintenance platforms.
