Identification of tree species from airborne lidar point clouds. Early approaches

LIDAR flights with multi-objective are every day more widespread. Governments are aware of the high potential that can be derived from point clouds obtained from these flights. One of the major fields in which applications are developed is the agroforestry field, especially related to forest managem...

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Detalles Bibliográficos
Autores: Santamaría, J. [0000-0002-6183-8988], Valbuena, M.A., Sanz, F. [0000-0003-0532-7072], Arancón, D., Martínez, A.
Tipo de recurso: capítulo de libro
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Universidad de La Rioja (UR)
Repositorio:RIUR. Repositorio Institucional de la Universidad de La Rioja
OAI Identifier:oai:portal.dialnet.es:doc/5ed7424629995205c4845e7d
Acceso en línea:https://investigacion.unirioja.es/documentos/5ed7424629995205c4845e7d
Access Level:acceso abierto
Palabra clave:LIDAR, CONVEX HULL, TREE IDENTIFICATION.
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spelling Identification of tree species from airborne lidar point clouds. Early approachesSantamaría, J. [0000-0002-6183-8988]Valbuena, M.A. Sanz, F. [0000-0003-0532-7072]Arancón, D.Martínez, A.LIDAR, CONVEX HULL, TREE IDENTIFICATION.LIDAR flights with multi-objective are every day more widespread. Governments are aware of the high potential that can be derived from point clouds obtained from these flights. One of the major fields in which applications are developed is the agroforestry field, especially related to forest management of large numbers of trees. Quickly parameters forests and even individual trees are achieved. [DW1] [ME1] In this paper, we intend to initiate a new guidance on the use of LIDAR data in order to identify tree species through the envelope profile of the cloud of points composing each individual tree. The projection of the point cloud of individual trees and the study of their convex hull, will characterize a given forest stand and assign a particular species. The method used is based primarily on the analysis of twodimensional projection of the point cloud of an individual tree and obtaining their convex hull. The study of the geometrical characteristics of said envelope to a representative number of trees and their association with forest parameters such as the maximum width or height glass plant mass , will assign the woodland studied a typology of particular species. [MA1]Springer2016info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://investigacion.unirioja.es/documentos/5ed7424629995205c4845e7dreponame:RIUR. Repositorio Institucional de la Universidad de La Riojainstname:Universidad de La Rioja (UR)Inglésinfo:eu-repo/semantics/altIdentifier/isbn/978-3-319-26119-5Identification of tree species from airborne lidar point clouds. Early approaches, 2016, pág. 292-296info:eu-repo/semantics/openAccessoai:portal.dialnet.es:doc/5ed7424629995205c4845e7d2026-06-14T12:47:17Z
dc.title.none.fl_str_mv Identification of tree species from airborne lidar point clouds. Early approaches
title Identification of tree species from airborne lidar point clouds. Early approaches
spellingShingle Identification of tree species from airborne lidar point clouds. Early approaches
Santamaría, J. [0000-0002-6183-8988]
LIDAR, CONVEX HULL, TREE IDENTIFICATION.
title_short Identification of tree species from airborne lidar point clouds. Early approaches
title_full Identification of tree species from airborne lidar point clouds. Early approaches
title_fullStr Identification of tree species from airborne lidar point clouds. Early approaches
title_full_unstemmed Identification of tree species from airborne lidar point clouds. Early approaches
title_sort Identification of tree species from airborne lidar point clouds. Early approaches
dc.creator.none.fl_str_mv Santamaría, J. [0000-0002-6183-8988]
Valbuena, M.A.
Sanz, F. [0000-0003-0532-7072]
Arancón, D.
Martínez, A.
author Santamaría, J. [0000-0002-6183-8988]
author_facet Santamaría, J. [0000-0002-6183-8988]
Valbuena, M.A.
Sanz, F. [0000-0003-0532-7072]
Arancón, D.
Martínez, A.
author_role author
author2 Valbuena, M.A.
Sanz, F. [0000-0003-0532-7072]
Arancón, D.
Martínez, A.
author2_role author
author
author
author
dc.subject.none.fl_str_mv LIDAR, CONVEX HULL, TREE IDENTIFICATION.
topic LIDAR, CONVEX HULL, TREE IDENTIFICATION.
description LIDAR flights with multi-objective are every day more widespread. Governments are aware of the high potential that can be derived from point clouds obtained from these flights. One of the major fields in which applications are developed is the agroforestry field, especially related to forest management of large numbers of trees. Quickly parameters forests and even individual trees are achieved. [DW1] [ME1] In this paper, we intend to initiate a new guidance on the use of LIDAR data in order to identify tree species through the envelope profile of the cloud of points composing each individual tree. The projection of the point cloud of individual trees and the study of their convex hull, will characterize a given forest stand and assign a particular species. The method used is based primarily on the analysis of twodimensional projection of the point cloud of an individual tree and obtaining their convex hull. The study of the geometrical characteristics of said envelope to a representative number of trees and their association with forest parameters such as the maximum width or height glass plant mass , will assign the woodland studied a typology of particular species. [MA1]
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv https://investigacion.unirioja.es/documentos/5ed7424629995205c4845e7d
url https://investigacion.unirioja.es/documentos/5ed7424629995205c4845e7d
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-3-319-26119-5
Identification of tree species from airborne lidar point clouds. Early approaches, 2016, pág. 292-296
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:RIUR. Repositorio Institucional de la Universidad de La Rioja
instname:Universidad de La Rioja (UR)
instname_str Universidad de La Rioja (UR)
reponame_str RIUR. Repositorio Institucional de la Universidad de La Rioja
collection RIUR. Repositorio Institucional de la Universidad de La Rioja
repository.name.fl_str_mv
repository.mail.fl_str_mv
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