What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia

Producción Científica

Detalhes bibliográficos
Autores: Martín García, Saray, Balenović, Ivan, Jurjević, Luka, Lizarralde, Iñigo, Buján, Sandra, Alonso Ponce, Rafael
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/63147
Acesso em linha:https://doi.org/10.3390/rs14092095
https://uvadoc.uva.es/handle/10324/63147
Access Level:acceso abierto
Palavra-chave:Understorey
Forests and forestry
Bosques y silvicultura
Arbustos
Deciduous forest
Forest fires - Prevention and control
Bosques - Incendios - Prevención y control
Forest ecology
Ecología forestal
Forest management
Bosques - Gestión
Sustainable development
Desarrollo sostenible
Croatia
3106 Ciencia Forestal
3106.08 Silvicultura
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spelling What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, CroatiaMartín García, SarayBalenović, IvanJurjević, LukaLizarralde, IñigoBuján, SandraAlonso Ponce, RafaelUnderstoreyForests and forestryBosques y silviculturaArbustosDeciduous forestForest fires - Prevention and controlBosques - Incendios - Prevención y controlForest ecologyEcología forestalForest managementBosques - GestiónSustainable developmentDesarrollo sostenibleCroatia3106 Ciencia Forestal3106.08 SilviculturaProducción CientíficaUnderstorey evaluation is essential in wildlife habitat management, biomass storage and wildfire suppression, among other areas. The lack of a standardised methodology in the field measurements, and in their subsequent analysis, forces researchers to look for procedures that effectively extract understorey data to make management decisions corresponding to actual stand conditions. In this sense, when analysing the understorey characteristics from LiDAR data, it is very usual to ask: “what value should we set the understorey height range to?” It is also usual to answer by setting a numeric value on the basis of previous research. Against that background, this research aims to identify the optimal height to canopy base (HCB) filter–LiDAR metric relationship for estimating understorey height (UH) and understorey cover (UC) using LiDAR data in the Pokupsko Basin lowland forest complex (Croatia). First, several HCB values per plot were obtained from field data (measured HCBi—HCBM-i, where i ϵ (minimum, maximum, mean, percentiles)), and then they were modelled based on LiDAR metrics (estimated HCBi—HCBE-i). These thresholds, measured and estimated HCBi per plot, were used as point cloud filters to estimate understorey parameters directly on the point cloud located under the canopy layer. In this way, it was possible to predict the UH with errors (RMSE) between 0.90 and 2.50 m and the UC with errors (RMSE) between 8.8 and 18.6 in cover percentage. Finally, the sensitivity analysis showed the HCB filter (the upper threshold to select the understorey LiDAR points) is the most important factor affecting the UH estimates, while this factor and the LiDAR metric are the most important factors affecting the UC estimates.Ministerio de Economía, Industria y Competitividad - (grant DI-16-08446)Comisión Europea - (grant H2020-EO-2017; 776045)Fundación Científica de Croacia - (project IP-2016-06-7686)MDPI2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3390/rs14092095https://uvadoc.uva.es/handle/10324/63147reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://www.mdpi.com/2072-4292/14/9/2095?trk=organization-update_share-update_update-textinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:uvadoc.uva.es:10324/631472026-06-13T12:44:47Z
dc.title.none.fl_str_mv What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
title What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
spellingShingle What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
Martín García, Saray
Understorey
Forests and forestry
Bosques y silvicultura
Arbustos
Deciduous forest
Forest fires - Prevention and control
Bosques - Incendios - Prevención y control
Forest ecology
Ecología forestal
Forest management
Bosques - Gestión
Sustainable development
Desarrollo sostenible
Croatia
3106 Ciencia Forestal
3106.08 Silvicultura
title_short What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
title_full What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
title_fullStr What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
title_full_unstemmed What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
title_sort What is the most suitable height range of ALS point cloud and LiDAR metric for understorey analysis? A study case in a mixed deciduous forest, Pokupsko basin, Croatia
dc.creator.none.fl_str_mv Martín García, Saray
Balenović, Ivan
Jurjević, Luka
Lizarralde, Iñigo
Buján, Sandra
Alonso Ponce, Rafael
author Martín García, Saray
author_facet Martín García, Saray
Balenović, Ivan
Jurjević, Luka
Lizarralde, Iñigo
Buján, Sandra
Alonso Ponce, Rafael
author_role author
author2 Balenović, Ivan
Jurjević, Luka
Lizarralde, Iñigo
Buján, Sandra
Alonso Ponce, Rafael
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Understorey
Forests and forestry
Bosques y silvicultura
Arbustos
Deciduous forest
Forest fires - Prevention and control
Bosques - Incendios - Prevención y control
Forest ecology
Ecología forestal
Forest management
Bosques - Gestión
Sustainable development
Desarrollo sostenible
Croatia
3106 Ciencia Forestal
3106.08 Silvicultura
topic Understorey
Forests and forestry
Bosques y silvicultura
Arbustos
Deciduous forest
Forest fires - Prevention and control
Bosques - Incendios - Prevención y control
Forest ecology
Ecología forestal
Forest management
Bosques - Gestión
Sustainable development
Desarrollo sostenible
Croatia
3106 Ciencia Forestal
3106.08 Silvicultura
description Producción Científica
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/rs14092095
https://uvadoc.uva.es/handle/10324/63147
url https://doi.org/10.3390/rs14092095
https://uvadoc.uva.es/handle/10324/63147
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.mdpi.com/2072-4292/14/9/2095?trk=organization-update_share-update_update-text
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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