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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Autores principales: Omar Montoya, Octavio Icasio-Hernández, Joaquín Salas
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/184e127c34ae4ae3b1d76d46f1eeb9b4
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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
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