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An automatic individual tree 3D change detection method for allometric parameters estimation in mixed uneven-aged forest stands from ALS data [Elektronski vir]Spadavecchia, Claudio ...Forests play a central role in the management of the Earth’s climate. Airborne laser scanning (ALS) technologies facilitate the monitoring of large and impassable areas and can be used to monitor the ... 3D structure of forests. While the ALS-based forest measures have been studied in depth, 3D change detection in forests is still a subject of little attention in the literature due to the challenges introduced by comparing point cloud pairs. In this study, we propose an innovative methodology to (i) automatically perform a 3D change detection of forests on an individual tree level; (ii) estimate tree parameters with allometric equations; and (iii) perform an assessment of the aboveground biomass (AGB) variation over time. The area in which the tests were carried out was hit by an ice storm that occurred in the time interval between the two LiDAR acquisitions; furthermore, field measurements were carried out and used to validate the results. The single-tree segmentation of the point clouds was automatically performed with a local maxima algorithm to detect the treetop, and a decision tree method to define the individual crowns around the local maxima. The multitemporal comparison of the point clouds was based on the identification of single trees, which were matched when there was a correlation between the position of the treetops. For each tree, the DBH (diameter at breast height) and the AGB were also estimated using allometric equations. The results are promising and allowed us to identify the uprooted trees and estimate that about 40% of the AGB of the area under examination had been destroyed, with an RMSE over the estimation ranging between 4% and 21% in four scenarios.Source: Remote sensing [Elektronski vir]. - ISSN 2072-4292 (Vol. 14, iss. 18, art. 4666, 2022, 17 str.)Type of material - e-articlePublish date - 2022Language - englishCOBISS.SI-ID - 122083331
Author
Spadavecchia, Claudio |
Belcore, Elena |
Piras, Marco |
Kobal, Milan
Topics
daljinsko zaznavanje |
LiDAR |
geodetske metode |
zaznavanje posameznih dreves |
multitemporalna analiza |
skeniranje z zračnim laserjem |
3D change detection |
forestry |
light detection and ranging |
LiDAR |
airborne laser scanning |
ALS |
multitemporal analysis |
remote sensing |
individual tree detection |
ITD
Author | Spadavecchia, Claudio ... |
Title | An automatic individual tree 3D change detection method for allometric parameters estimation in mixed uneven-aged forest stands from ALS data [Elektronski vir] |
Publication date | 2022-09-19 |
COBISS.SI-ID | 122083331 |
Publication version in repository | Publisher's version |
Publication licence | Creative Commons Attribution 4.0 International |
Embargo | Unidentified |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
---|---|---|---|
Gozd, gozdarstvo in obnovljivi gozdni viri | P4-0059-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
|
Man-For C. BD | Man-For C. BD | LIFE 09 ENV/IT/000078 |
Files that belong to the publication
Link |
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https://doi.org/10.3390/rs14184666 |
https://www.mdpi.com/2072-4292/14/18/4666 |
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=140853 |
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Database name | Field | Year |
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Spadavecchia, Claudio | |
Belcore, Elena | |
Piras, Marco | |
Kobal, Milan | 27605 |
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