Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco

Autores
Gobbi, Beatriz; Van Rompaey, Anton; Loto, Dante Ernesto; Gasparri, Nestor Ignacio; Vanacker, Veerle
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Anthropogenic activity leading to forest structural and functional changes needs specific ecological indicators and monitoring techniques. Since decades, forest structure, composition, biomass, and functioning have been studied with ground-based forest inventories. Nowadays, satellites survey the earth, producing imagery at different spatial and temporal resolutions. However, measuring the ecological state of large extensions of forest is still challenging. To reconstruct the three-dimensional forest structure, the structure from motion (SfM) algorithm was applied to imagery taken by an unmanned aerial vehicle (UAV). Structural indicators from UAV-SfM products are then compared to forest inventory indicators of 64 circular plots of 1000 m2 in a subtropical dry forest. Our data indicate that the UAV-SfM indicators provide a valuable alternative for ground-based forest inventory’ indicators of the upper canopy structure. Based on the correlation between ground-based measures and UAV-SfM derived indicators, we can state that the UAV-SfM technique provides reliable estimates of the mean and maximum height of the upper canopy. The performance of UAV-SfM techniques to characterize the undergrowth forest structure is low, as UAV-SfM indicators derived from the point cloud in the lower forest strata are not suited to provide correct estimates of the vegetation density in the lower strata. Besides structural information, UAV-SfM derived indicators, such as canopy cover, can provide relevant ecological information as the indicators are related to structural, functional, and/or compositional aspects, such as biomass or compositional dominance. Although UAV-SfM techniques cannot replace the wealth of data collected during ground-based forest inventories, its strength lies in the three-dimensional (3D) monitoring of the tree canopy at cm-scale resolution, and the versatility of the technique to provide multi-temporal datasets of the horizontal and vertical forest structure.
Fil: Gobbi, Beatriz. Université Catholique de Louvain; Bélgica
Fil: Van Rompaey, Anton. Katholikie Universiteit Leuven; Bélgica
Fil: Loto, Dante Ernesto. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Vanacker, Veerle. Université Catholique de Louvain; Bélgica
Materia
ABOVE-GROUND BIOMASS
CANOPY HEIGHT
CHACO
FOREST INVENTORY
FOREST MONITORING
UAV-SFM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/147065
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chacoGobbi, BeatrizVan Rompaey, AntonLoto, Dante ErnestoGasparri, Nestor IgnacioVanacker, VeerleABOVE-GROUND BIOMASSCANOPY HEIGHTCHACOFOREST INVENTORYFOREST MONITORINGUAV-SFMhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2https://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Anthropogenic activity leading to forest structural and functional changes needs specific ecological indicators and monitoring techniques. Since decades, forest structure, composition, biomass, and functioning have been studied with ground-based forest inventories. Nowadays, satellites survey the earth, producing imagery at different spatial and temporal resolutions. However, measuring the ecological state of large extensions of forest is still challenging. To reconstruct the three-dimensional forest structure, the structure from motion (SfM) algorithm was applied to imagery taken by an unmanned aerial vehicle (UAV). Structural indicators from UAV-SfM products are then compared to forest inventory indicators of 64 circular plots of 1000 m2 in a subtropical dry forest. Our data indicate that the UAV-SfM indicators provide a valuable alternative for ground-based forest inventory’ indicators of the upper canopy structure. Based on the correlation between ground-based measures and UAV-SfM derived indicators, we can state that the UAV-SfM technique provides reliable estimates of the mean and maximum height of the upper canopy. The performance of UAV-SfM techniques to characterize the undergrowth forest structure is low, as UAV-SfM indicators derived from the point cloud in the lower forest strata are not suited to provide correct estimates of the vegetation density in the lower strata. Besides structural information, UAV-SfM derived indicators, such as canopy cover, can provide relevant ecological information as the indicators are related to structural, functional, and/or compositional aspects, such as biomass or compositional dominance. Although UAV-SfM techniques cannot replace the wealth of data collected during ground-based forest inventories, its strength lies in the three-dimensional (3D) monitoring of the tree canopy at cm-scale resolution, and the versatility of the technique to provide multi-temporal datasets of the horizontal and vertical forest structure.Fil: Gobbi, Beatriz. Université Catholique de Louvain; BélgicaFil: Van Rompaey, Anton. Katholikie Universiteit Leuven; BélgicaFil: Loto, Dante Ernesto. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; ArgentinaFil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; ArgentinaFil: Vanacker, Veerle. Université Catholique de Louvain; BélgicaMDPI AG2020-12-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/147065Gobbi, Beatriz; Van Rompaey, Anton; Loto, Dante Ernesto; Gasparri, Nestor Ignacio; Vanacker, Veerle; Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco; MDPI AG; Remote Sensing; 12; 23; 7-12-2020; 1-232072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/12/23/4005info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12234005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:21:33Zoai:ri.conicet.gov.ar:11336/147065instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:21:33.835CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
title Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
spellingShingle Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
Gobbi, Beatriz
ABOVE-GROUND BIOMASS
CANOPY HEIGHT
CHACO
FOREST INVENTORY
FOREST MONITORING
UAV-SFM
title_short Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
title_full Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
title_fullStr Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
title_full_unstemmed Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
title_sort Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco
dc.creator.none.fl_str_mv Gobbi, Beatriz
Van Rompaey, Anton
Loto, Dante Ernesto
Gasparri, Nestor Ignacio
Vanacker, Veerle
author Gobbi, Beatriz
author_facet Gobbi, Beatriz
Van Rompaey, Anton
Loto, Dante Ernesto
Gasparri, Nestor Ignacio
Vanacker, Veerle
author_role author
author2 Van Rompaey, Anton
Loto, Dante Ernesto
Gasparri, Nestor Ignacio
Vanacker, Veerle
author2_role author
author
author
author
dc.subject.none.fl_str_mv ABOVE-GROUND BIOMASS
CANOPY HEIGHT
CHACO
FOREST INVENTORY
FOREST MONITORING
UAV-SFM
topic ABOVE-GROUND BIOMASS
CANOPY HEIGHT
CHACO
FOREST INVENTORY
FOREST MONITORING
UAV-SFM
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Anthropogenic activity leading to forest structural and functional changes needs specific ecological indicators and monitoring techniques. Since decades, forest structure, composition, biomass, and functioning have been studied with ground-based forest inventories. Nowadays, satellites survey the earth, producing imagery at different spatial and temporal resolutions. However, measuring the ecological state of large extensions of forest is still challenging. To reconstruct the three-dimensional forest structure, the structure from motion (SfM) algorithm was applied to imagery taken by an unmanned aerial vehicle (UAV). Structural indicators from UAV-SfM products are then compared to forest inventory indicators of 64 circular plots of 1000 m2 in a subtropical dry forest. Our data indicate that the UAV-SfM indicators provide a valuable alternative for ground-based forest inventory’ indicators of the upper canopy structure. Based on the correlation between ground-based measures and UAV-SfM derived indicators, we can state that the UAV-SfM technique provides reliable estimates of the mean and maximum height of the upper canopy. The performance of UAV-SfM techniques to characterize the undergrowth forest structure is low, as UAV-SfM indicators derived from the point cloud in the lower forest strata are not suited to provide correct estimates of the vegetation density in the lower strata. Besides structural information, UAV-SfM derived indicators, such as canopy cover, can provide relevant ecological information as the indicators are related to structural, functional, and/or compositional aspects, such as biomass or compositional dominance. Although UAV-SfM techniques cannot replace the wealth of data collected during ground-based forest inventories, its strength lies in the three-dimensional (3D) monitoring of the tree canopy at cm-scale resolution, and the versatility of the technique to provide multi-temporal datasets of the horizontal and vertical forest structure.
Fil: Gobbi, Beatriz. Université Catholique de Louvain; Bélgica
Fil: Van Rompaey, Anton. Katholikie Universiteit Leuven; Bélgica
Fil: Loto, Dante Ernesto. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Gasparri, Nestor Ignacio. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina
Fil: Vanacker, Veerle. Université Catholique de Louvain; Bélgica
description Anthropogenic activity leading to forest structural and functional changes needs specific ecological indicators and monitoring techniques. Since decades, forest structure, composition, biomass, and functioning have been studied with ground-based forest inventories. Nowadays, satellites survey the earth, producing imagery at different spatial and temporal resolutions. However, measuring the ecological state of large extensions of forest is still challenging. To reconstruct the three-dimensional forest structure, the structure from motion (SfM) algorithm was applied to imagery taken by an unmanned aerial vehicle (UAV). Structural indicators from UAV-SfM products are then compared to forest inventory indicators of 64 circular plots of 1000 m2 in a subtropical dry forest. Our data indicate that the UAV-SfM indicators provide a valuable alternative for ground-based forest inventory’ indicators of the upper canopy structure. Based on the correlation between ground-based measures and UAV-SfM derived indicators, we can state that the UAV-SfM technique provides reliable estimates of the mean and maximum height of the upper canopy. The performance of UAV-SfM techniques to characterize the undergrowth forest structure is low, as UAV-SfM indicators derived from the point cloud in the lower forest strata are not suited to provide correct estimates of the vegetation density in the lower strata. Besides structural information, UAV-SfM derived indicators, such as canopy cover, can provide relevant ecological information as the indicators are related to structural, functional, and/or compositional aspects, such as biomass or compositional dominance. Although UAV-SfM techniques cannot replace the wealth of data collected during ground-based forest inventories, its strength lies in the three-dimensional (3D) monitoring of the tree canopy at cm-scale resolution, and the versatility of the technique to provide multi-temporal datasets of the horizontal and vertical forest structure.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/147065
Gobbi, Beatriz; Van Rompaey, Anton; Loto, Dante Ernesto; Gasparri, Nestor Ignacio; Vanacker, Veerle; Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco; MDPI AG; Remote Sensing; 12; 23; 7-12-2020; 1-23
2072-4292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/147065
identifier_str_mv Gobbi, Beatriz; Van Rompaey, Anton; Loto, Dante Ernesto; Gasparri, Nestor Ignacio; Vanacker, Veerle; Comparing forest structural attributes derived from UAV-based point clouds with conventional forest inventories in the dry chaco; MDPI AG; Remote Sensing; 12; 23; 7-12-2020; 1-23
2072-4292
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/12/23/4005
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12234005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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