Analyzing Drone-Collected Data in Global Mapper Pro
As drones and unmanned aerial vehicles (UAVs) become more accessible, so does the capture of new geospatial data. The advanced tools in Global Mapper Pro provide post-processing and analysis of drone-collected data from photogrammetric point cloud creation to classification and terrain analysis.
Machine learning tools in Global Mapper Pro allow users to create custom classifications that automatically identify unique features in point clouds, beyond the standard feature set.
Global Mapper makes it easy to detect potential vegetation encroachment near utilities using lidar or other point cloud data, helping identify hazards before field inspections.
Foresters use lidar data to map ground elevation beneath dense canopies and analyze forest structure, including density, crown coverage, and tree height—providing detailed insights at a fraction of traditional labor costs.
Thin, classify, and extract features from point clouds while improving positional accuracy. By aligning point clouds with high-accuracy GPS ground control points or other well-positioned datasets, users can correct and refine spatial accuracy for reliable analysis and data products.
High-resolution DEMs from lidar are valuable for uncovering and verifying archaeological features hidden by vegetation, revealing terrain details such as burial mounds, earthworks, ancient roads, and agricultural terraces.
Golf course management relies on detailed land insight and planning. Global Mapper Pro and its mobile app help monitor conditions, manage surveys, and track changes in terrain and usage over time.
