Solution details
Platform:
Desktop
Description:
ScoutTree is Spacesium’s AI-powered tree segmentation tool designed to accurately detect, isolate, and analyze individual trees from 3D point cloud data. Seamlessly integrated into ArcGIS workflows, ScoutTree empowers users to perform high-resolution vegetation mapping for forestry, environmental monitoring, land management, and site planning. ScoutTree uses advanced point cloud classification and object segmentation algorithms to automatically identify trees—even in complex, mixed-terrain environments. Whether working with LiDAR from Terrestrial, Drone or Aerial scanning, users can quickly extract canopy structure, tree counts, and spatial distribution for decision-making and reporting. Key Use Cases: 1. Vegetation management for infrastructure and utilities 2. Pre-clearing assessments in mining and construction 3. Environmental impact reporting 4. Forestry and habitat analysis 5. Mining Rehabilitation 6. Carbon Capture Reporting Key Features: - Automatic segmentation of individual trees from classified point clouds - Compatible with LAS, LAZ, and ArcGIS-supported data formats - Outputs include geolocated tree ESRI layers, canopy metrics, and spatial insights - Integrates with ArcGIS Pro and Spacesium’s cloud platform for visualization and analysis - Scalable for small field surveys or large corridor and terrain datasets Why ScoutTree? ScoutTree simplifies complex vegetation data into actionable layers—helping ArcGIS users manage risk, streamline planning, and protect environmental assets with greater accuracy and efficiency.
Industries:
Agriculture,Conservation,Environmental Management