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

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (15 Jul 2020) by Paul Stoy
AR by Lorena Grabowski on behalf of the Authors (31 Aug 2020)  Author's response
ED: Referee Nomination & Report Request started (04 Sep 2020) by Paul Stoy
RR by Anonymous Referee #2 (17 Sep 2020)
ED: Publish as is (29 Sep 2020) by Paul Stoy
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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.
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