lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
Université Laval · Northern Arizona University · +11 more institutions
Abstract
Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in natural resources management. By quantifying the three-dimensional structure of vegetation and underlying terrain using laser technology, ALS has been used extensively for enhancing geospatial knowledge in the fields of forestry and ecology. Structural descriptions of vegetation provide a means of estimating a range of ecologically pertinent attributes, such as height, volume, and above-ground biomass. The efficient processing of large, often technically complex datasets requires dedicated algorithms and software. The continued promise of ALS as a tool for improving ecological understanding is often dependent on…
Citation impact
- FWCI
- 38.10
- Percentile
- 100%
- References
- 129
Authors
9- JRJean-Romain RousselCorresponding
Université Laval
- DADavid Auty
Northern Arizona University, Arizona State University
- NCNicholas C. Coops
University of British Columbia, University of British Columbia, Okanagan Campus, Okanagan University College
- PTPiotr Tompalski
University of British Columbia
- TRTristan R.H. Goodbody
University of British Columbia
Topics & keywords
- Remote sensing
- Laser scanning
- Lidar
- Environmental science
- Laser
- Geology
- Optics
- Physics