Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry

Autores
Hildt, Eduardo; Krasemann, Heidi; Angermeier, Karen; Alcalde, Julio
Año de publicación
2023
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The traditional method of characterizing forests through labor-intensive field inventories is expensive. This study presents initial findings from an experiment that utilized aerial photogrammetry with drones to obtain precise tree height estimations. A drone survey was conducted in a 34-hectare area, and field measurements of tree heights were also obtained through direct visual observation. Using the aerial survey data, a Canopy Height Model was generated, and tree height indicators were extracted. The results demonstrate that dronebased photogrammetry is an efficient method for estimating tree heights throughout the surveyed area.
EEA Montecarlo
Fil: Hildt, Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Krausemann, Heidi. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Angermeier, Karen. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Alcalde, Julio. Empresa Equilibrio Forestal SRL, Misiones; Argentina
Fuente
Actas de las XIX Jornadas Técnicas Forestales y Ambientales, 21 a 23 septiembre 2023, Misiones; Argentina
Materia
Inventario Forestal
Teledetección
Restauración
Forest Inventories
Remote Sensing
Restoration
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetryHildt, EduardoKrasemann, HeidiAngermeier, KarenAlcalde, JulioInventario ForestalTeledetecciónRestauraciónForest InventoriesRemote SensingRestorationThe traditional method of characterizing forests through labor-intensive field inventories is expensive. This study presents initial findings from an experiment that utilized aerial photogrammetry with drones to obtain precise tree height estimations. A drone survey was conducted in a 34-hectare area, and field measurements of tree heights were also obtained through direct visual observation. Using the aerial survey data, a Canopy Height Model was generated, and tree height indicators were extracted. The results demonstrate that dronebased photogrammetry is an efficient method for estimating tree heights throughout the surveyed area.EEA MontecarloFil: Hildt, Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; ArgentinaFil: Krausemann, Heidi. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; ArgentinaFil: Angermeier, Karen. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; ArgentinaFil: Alcalde, Julio. Empresa Equilibrio Forestal SRL, Misiones; ArgentinaFacultad de Ciencias Forestales, Universidad Nacional de Misiones (UNaM) y EEA Montecarlo, INTA2024-09-27T10:14:31Z2024-09-27T10:14:31Z2023-09-21info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/195701668-5385 (impreso)2683-7110 (en línea)Actas de las XIX Jornadas Técnicas Forestales y Ambientales, 21 a 23 septiembre 2023, Misiones; Argentinareponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaspainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-16T09:31:54Zoai:localhost:20.500.12123/19570instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:31:54.916INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
title Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
spellingShingle Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
Hildt, Eduardo
Inventario Forestal
Teledetección
Restauración
Forest Inventories
Remote Sensing
Restoration
title_short Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
title_full Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
title_fullStr Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
title_full_unstemmed Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
title_sort Relevamiento de alturas de árboles en bosque nativo mediante fotogrametría con drones = Surveying the heights of trees in native forests through drone-based photogrammetry
dc.creator.none.fl_str_mv Hildt, Eduardo
Krasemann, Heidi
Angermeier, Karen
Alcalde, Julio
author Hildt, Eduardo
author_facet Hildt, Eduardo
Krasemann, Heidi
Angermeier, Karen
Alcalde, Julio
author_role author
author2 Krasemann, Heidi
Angermeier, Karen
Alcalde, Julio
author2_role author
author
author
dc.subject.none.fl_str_mv Inventario Forestal
Teledetección
Restauración
Forest Inventories
Remote Sensing
Restoration
topic Inventario Forestal
Teledetección
Restauración
Forest Inventories
Remote Sensing
Restoration
dc.description.none.fl_txt_mv The traditional method of characterizing forests through labor-intensive field inventories is expensive. This study presents initial findings from an experiment that utilized aerial photogrammetry with drones to obtain precise tree height estimations. A drone survey was conducted in a 34-hectare area, and field measurements of tree heights were also obtained through direct visual observation. Using the aerial survey data, a Canopy Height Model was generated, and tree height indicators were extracted. The results demonstrate that dronebased photogrammetry is an efficient method for estimating tree heights throughout the surveyed area.
EEA Montecarlo
Fil: Hildt, Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Montecarlo; Argentina. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Krausemann, Heidi. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Angermeier, Karen. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina
Fil: Alcalde, Julio. Empresa Equilibrio Forestal SRL, Misiones; Argentina
description The traditional method of characterizing forests through labor-intensive field inventories is expensive. This study presents initial findings from an experiment that utilized aerial photogrammetry with drones to obtain precise tree height estimations. A drone survey was conducted in a 34-hectare area, and field measurements of tree heights were also obtained through direct visual observation. Using the aerial survey data, a Canopy Height Model was generated, and tree height indicators were extracted. The results demonstrate that dronebased photogrammetry is an efficient method for estimating tree heights throughout the surveyed area.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-21
2024-09-27T10:14:31Z
2024-09-27T10:14:31Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/19570
1668-5385 (impreso)
2683-7110 (en línea)
url http://hdl.handle.net/20.500.12123/19570
identifier_str_mv 1668-5385 (impreso)
2683-7110 (en línea)
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Facultad de Ciencias Forestales, Universidad Nacional de Misiones (UNaM) y EEA Montecarlo, INTA
publisher.none.fl_str_mv Facultad de Ciencias Forestales, Universidad Nacional de Misiones (UNaM) y EEA Montecarlo, INTA
dc.source.none.fl_str_mv Actas de las XIX Jornadas Técnicas Forestales y Ambientales, 21 a 23 septiembre 2023, Misiones; Argentina
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.712165

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