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LiDAR Analysis/Evidence
Method evidence record

LiDAR 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.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

LiDAR Point-Cloud Analysis
Taxonomic method record · process-pipeline / remote-sensing
  • 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
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Curated claims

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Related methods

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Taxonomic bucketObject-Based Image Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

1 recorded citation, copied from the method source record.

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