Process / pipelineRemote sensing

LiDAR Point-Cloud Analysis

LiDAR (Light Detection and Ranging) Point-Cloud Analysis is an active remote sensing technique that measures distances by emitting laser pulses and recording the time for returns to reach the sensor. First systematically applied to ecosystem science by Lefsky, Cohen, Parker, and Harding in 2002, LiDAR produces dense three-dimensional point clouds that encode the precise vertical and horizontal structure of vegetation, terrain, and built environments at resolutions unachievable by passive optical sensors.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Lefsky, M. A., Cohen, W. B., Parker, G. G., & Harding, D. J. (2002). Lidar remote sensing for ecosystem studies. BioScience, 52(1), 19–30. DOI: 10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2

Related methods

ScholarGateLiDAR Analysis (LiDAR Point-Cloud Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/remote-sensing/lidar-analysis