When a definition makes the difference: operative issues about tree height measures from RPAS-derived CHMs
Samuele De Petris , Roberta Berretti, Filippo Sarvia, Enrico Borgogno Mondino
iForest - Biogeosciences and Forestry, Volume 13, Issue 5, Pages 404-408 (2020)
doi: https://doi.org/10.3832/ifor3411-013
Published: Sep 03, 2020 - Copyright © 2020 SISEF
Short Communications
Abstract
Tree height (H) survey is a fundamental step in forest mensuration. The error affecting tree height measure, necessarily influences the correspondent tree estimates. The remotely survey of vegetation using PHODAR (PHOtogrammetric Detection And Ranging) or LiDAR (Light Detection And Ranging) techniques generates very high-density point clouds, that result into Canopy Height Models (CHMs) having GSD (Ground Sampling Distance) of few centimetres. This GSD value potentially allows to survey single crown apexes, which, from a forestry point of view, do not represent the actual tree height. Apex height value, in fact, does not represent the prevailing dendrometric height (PDH) but the maximum tree value. In this study we propose a new approach aimed at measuring dendrometric height by PHODAR derived CHM, taking care about this issue. The proposed method defines a correcting factor (found equal to 95% percentile of CHM values distribution within a given crown) for the tree height extraction from CHM based on the PDH concept. The method could be implemented to single crown approach in forest parameters extraction algorithms permitting more reliable results, especially in terms of tree volume and related estimations (e.g., carbon stock quantification, allometric models).
Keywords
Tree Height, Prevailing Dendrometric Height, CHM, PHODAR, LiDAR
Authors’ Info
Authors’ address
Roberta Berretti 0000-0002-1944-8855
Filippo Sarvia 0000-0003-4556-446X
Enrico Borgogno Mondino 0000-0003-4570-8013
DISAFA - Department of agriculture, forest and food sciences, University of Torino, Largo P. Braccini 2, Grugliasco, TO (Italy)
Corresponding author
Paper Info
Citation
De Petris S, Berretti R, Sarvia F, Borgogno Mondino E (2020). When a definition makes the difference: operative issues about tree height measures from RPAS-derived CHMs. iForest 13: 404-408. - doi: 10.3832/ifor3411-013
Academic Editor
Carlotta Ferrara
Paper history
Received: Mar 23, 2020
Accepted: Jun 24, 2020
First online: Sep 03, 2020
Publication Date: Oct 31, 2020
Publication Time: 2.37 months
Copyright Information
© SISEF - The Italian Society of Silviculture and Forest Ecology 2020
Open Access
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Web Metrics
Breakdown by View Type
Article Usage
Total Article Views: 9091
(from publication date up to now)
Breakdown by View Type
HTML Page Views: 5900
Abstract Page Views: 389
PDF Downloads: 2298
Citation/Reference Downloads: 0
XML Downloads: 504
Web Metrics
Days since publication: 1524
Overall contacts: 9091
Avg. contacts per week: 41.76
Citation Metrics
Article Citations
Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Nov 2020)
(No citations were found up to date. Please come back later)
Publication Metrics
by Dimensions ©
Articles citing this article
List of the papers citing this article based on CrossRef Cited-by.
References
Data reduction and error analysis for the physical sciences. McGraw-Hill, New York, USA, vol. 4, pp. 428.
Gscholar
Precision arboriculture: a new approach to tree risk management based on geomatics tools. In: Proceedings of the Conference “SPIE Remote Sensing 2019”. SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology 21: 111491G.
CrossRef | Gscholar
UAV-based photogrammetric point clouds - tree stem mapping in open stands in comparison to terrestrial laser scanner point clouds. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W 2: 141-146.
CrossRef | Gscholar
A statistical manual for forestry research. Forestry research support programme for Asia and the pacific. FAO-UN Regional Office for Asia and the Pacific, Bangkok, Thailand, pp. 32-34.
Gscholar
Tree top detection using local maxima filtering: a parameter sensitivity analysis. In: Proceedings of the “10th International Conference on LiDAR Applications for Assessing Forest Ecosystems”. Freiburg (Germany) 14-17 Sept 2010. Silvilaser, Freiburg, Germany, pp. 3-5.
Online | Gscholar
Delineating individual tree crowns in an uneven-aged, mixed broadleaf forest using multispectral watershed segmentation and multiscale fitting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10: 1390-1401.
CrossRef | Gscholar
Field-map - the new technology designed by IFER for the collection and processing of forest inventory data. Sherwood - Foreste ed Alberi Oggi 33-38.
Gscholar