Articles | Volume 17, issue 23
https://doi.org/10.5194/bg-17-5939-2020
https://doi.org/10.5194/bg-17-5939-2020
Research article
 | 
02 Dec 2020
Research article |  | 02 Dec 2020

Robust processing of airborne laser scans to plant area density profiles

Johan Arnqvist, Julia Freier, and Ebba Dellwik

Viewed

Total article views: 2,027 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,304 653 70 2,027 55 46
  • HTML: 1,304
  • PDF: 653
  • XML: 70
  • Total: 2,027
  • BibTeX: 55
  • EndNote: 46
Views and downloads (calculated since 30 Apr 2020)
Cumulative views and downloads (calculated since 30 Apr 2020)

Viewed (geographical distribution)

Total article views: 2,027 (including HTML, PDF, and XML) Thereof 1,826 with geography defined and 201 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Data generated by airborne laser scans enable the characterization of surface vegetation for any application that might need it, such as forest management, modeling for numerical weather prediction, or wind energy estimation. In this work we present a new algorithm for calculating the vegetation density using data from airborne laser scans. The new routine is more robust than earlier methods, and an implementation in popular programming languages accompanies the article to support new users.
Altmetrics
Final-revised paper
Preprint