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Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements Cover

Assessment of forest thinning intensity using sparse point clouds from repeated airborne lidar measurements

By: Mait Lang and  Tauri Arumäe  
Open Access
|Jan 2019

Abstract

Thinning cuttings create moderate disturbances in forest stands. Thinning intensity indicates the amount of felled wood relative to the initial standing volume. We used sparse point clouds from airborne lidar measurements carried out in 2008 and 2012 at Aegviidu test site, Estonia, to study stand level relationships of thinning intensity to the changes in canopy cover and ALS-based wood volume estimates. Thinning intensity (Kr, HRV) was estimated from forest inventory data and harvester measurements of removed wood volume. The thinning intensity ranged from 17% to 56%. By raising threshold from 1.3 m to 8.0 m over ground surface we observed less canopy cover change, but stronger correlation with thinning intensity. Correlation between ALS-based and harvester-based thinning intensity was moderate. The ALS-based thinning intensity estimate was systematically smaller than Kr, HRV. Forest height growth compensates for a small decrease in canopy cover and intensity estimates for weak thinnings are not reliable using sparse point clouds and a four-year measurement interval.

DOI: https://doi.org/10.2478/fsmu-2018-0004 | Journal eISSN: 1736-8723 | Journal ISSN: 1406-9954
Language: English
Page range: 40 - 50
Submitted on: Oct 14, 2018
Accepted on: Oct 29, 2018
Published on: Jan 25, 2019
Published by: Estonian University of Life Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Mait Lang, Tauri Arumäe, published by Estonian University of Life Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.