LiDARinsamlede

LiDARinsamlede is a term used to describe data gathered with LiDAR (Light Detection and Ranging), typically in the form of three-dimensional point clouds. It covers the planning of data collection, the acquisition process with various platforms, and the integration of the results into GIS and analysis workflows. LiDARinsamlede can be produced by airborne, terrestrial, or mobile systems and is used to map surfaces, structures, and elevations with high precision.

Data collection methods include airborne LiDAR (ALS) from aircraft, terrestrial LiDAR (TLS) from ground scanners, and mobile LiDAR (MLS) on vehicles. Scans combine laser range measurements with GPS/IMU data to georeference points. Common formats are LAS, LAZ, and E57, with LAS most widely used. Preprocessing includes noise removal, georeferencing, and ground-point classification.

Post-processing produces products such as digital terrain models (DTMs), digital surface models (DSMs), canopy height models, and feature vectors. Techniques include ground filtering, classification, and rasterization. Accuracy depends on sensor specifications, geometry, and ground control.

Applications include urban planning, forestry, hydrology, flood risk, archaeology, and infrastructure monitoring.

Challenges include occlusion, large data volumes, processing demands, privacy concerns, and the need for metadata standardization and interoperability. Access is often controlled by licensing, though public LiDARinsamlede datasets are available in many regions.