TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds

Trees’ inventory is an essential task in ecological assessment efforts in the fight against climate change. The diameter at breast height (DBH) of a tree is critical in forest inventory, particularly in estimating carbon content. This document presents TreeTool, a software tool written in Python to...

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Auteurs principaux:	Omar Montoya, Octavio Icasio-Hernández, Joaquín Salas
Format:	article
Langue:	EN
Publié:	Elsevier 2021
Sujets:	Detecting trees Dense point clouds Segmentation Forestry Computer software QA76.75-76.765
Accès en ligne:	https://doaj.org/article/184e127c34ae4ae3b1d76d46f1eeb9b4
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id	oai:doaj.org-article:184e127c34ae4ae3b1d76d46f1eeb9b4
record_format	dspace
spelling	oai:doaj.org-article:184e127c34ae4ae3b1d76d46f1eeb9b42021-11-26T04:34:54ZTreeTool: A tool for detecting trees and estimating their DBH using forest point clouds2352-711010.1016/j.softx.2021.100889https://doaj.org/article/184e127c34ae4ae3b1d76d46f1eeb9b42021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352711021001485https://doaj.org/toc/2352-7110Trees’ inventory is an essential task in ecological assessment efforts in the fight against climate change. The diameter at breast height (DBH) of a tree is critical in forest inventory, particularly in estimating carbon content. This document presents TreeTool, a software tool written in Python to detect trees and measure their DBH from forest dense point clouds. The software performed acceptably against others in completeness, accuracy, location error, and diameter error benchmarks.Omar MontoyaOctavio Icasio-HernándezJoaquín SalasElsevierarticleDetecting treesDense point cloudsSegmentationForestryComputer softwareQA76.75-76.765ENSoftwareX, Vol 16, Iss , Pp 100889- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Detecting trees Dense point clouds Segmentation Forestry Computer software QA76.75-76.765
spellingShingle	Detecting trees Dense point clouds Segmentation Forestry Computer software QA76.75-76.765 Omar Montoya Octavio Icasio-Hernández Joaquín Salas TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds
description	Trees’ inventory is an essential task in ecological assessment efforts in the fight against climate change. The diameter at breast height (DBH) of a tree is critical in forest inventory, particularly in estimating carbon content. This document presents TreeTool, a software tool written in Python to detect trees and measure their DBH from forest dense point clouds. The software performed acceptably against others in completeness, accuracy, location error, and diameter error benchmarks.
format	article
author	Omar Montoya Octavio Icasio-Hernández Joaquín Salas
author_facet	Omar Montoya Octavio Icasio-Hernández Joaquín Salas
author_sort	Omar Montoya
title	TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds
title_short	TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds
title_full	TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds
title_fullStr	TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds
title_full_unstemmed	TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds
title_sort	treetool: a tool for detecting trees and estimating their dbh using forest point clouds
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/184e127c34ae4ae3b1d76d46f1eeb9b4
work_keys_str_mv	AT omarmontoya treetoolatoolfordetectingtreesandestimatingtheirdbhusingforestpointclouds AT octavioicasiohernandez treetoolatoolfordetectingtreesandestimatingtheirdbhusingforestpointclouds AT joaquinsalas treetoolatoolfordetectingtreesandestimatingtheirdbhusingforestpointclouds
_version_	1718409825233141760

TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds

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