Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina

Autores
Gonzalez Musso, Romina F.; Oddi, Facundo J.; Goldenberg, Matías G.; Garibaldi, Lucas Alejandro
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Gonzalez Musso, Romina F. Universidad Nacional del Comahue. Argentina.
Fil: Oddi, Facundo J. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Oddi, Facundo J. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Goldenberg, Matías G. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Goldenberg, Matías G. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Unmanned aerial vehicles (UAVs) have gained attention for forestry applications in recent years. These technologies provide ultrahigh-resolution spatial data for detailed mapping of forest structure, among other forestry applications. UAVs have mainly been tested in high-value timber stands, but little is known about their performance in other woody ecosystems such as shrublands that also provide key ecosystem services. Field measurements in shrublands are time-consuming, so UAVs could be used instead to provide data for shrubland management and conservation. We tested whether UAVs could map common structural attributes in shrublands of northern Patagonia. We specifically evaluated the capability of UAV point clouds for mapping (i) canopy height, (ii) stand density, (iii) basal area, and (iv) volume. The agreement with the field measurements was satisfactory (R2 was up to 0.95 and relative root mean square error (rRMSE) ranged between 12% and 39%) and comparable with those found for coniferous forests in similar studies. This study is a first attempt to characterize the structure of Patagonian shrublands using UAV data. Despite the challenges and methodological aspects that need to be solved, our results encourage the use of UAVs in these types of ecosystems.
Materia
UAV
Shrublands
Structural Attributes
Photogrammetric Point Cloud
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
RID-UNRN (UNRN)
Institución
Universidad Nacional de Río Negro
OAI Identificador
oai:rid.unrn.edu.ar:20.500.12049/5156
Acceder
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network_name_str RID-UNRN (UNRN)
spelling Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, ArgentinaGonzalez Musso, Romina F.Oddi, Facundo J.Goldenberg, Matías G.Garibaldi, Lucas AlejandroUAVShrublandsStructural AttributesPhotogrammetric Point CloudFil: Gonzalez Musso, Romina F. Universidad Nacional del Comahue. Argentina.Fil: Oddi, Facundo J. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Oddi, Facundo J. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Goldenberg, Matías G. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Goldenberg, Matías G. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Unmanned aerial vehicles (UAVs) have gained attention for forestry applications in recent years. These technologies provide ultrahigh-resolution spatial data for detailed mapping of forest structure, among other forestry applications. UAVs have mainly been tested in high-value timber stands, but little is known about their performance in other woody ecosystems such as shrublands that also provide key ecosystem services. Field measurements in shrublands are time-consuming, so UAVs could be used instead to provide data for shrubland management and conservation. We tested whether UAVs could map common structural attributes in shrublands of northern Patagonia. We specifically evaluated the capability of UAV point clouds for mapping (i) canopy height, (ii) stand density, (iii) basal area, and (iv) volume. The agreement with the field measurements was satisfactory (R2 was up to 0.95 and relative root mean square error (rRMSE) ranged between 12% and 39%) and comparable with those found for coniferous forests in similar studies. This study is a first attempt to characterize the structure of Patagonian shrublands using UAV data. Despite the challenges and methodological aspects that need to be solved, our results encourage the use of UAVs in these types of ecosystems.NRC Research Press (Canadian Science Publishing)2020-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfGonzalez Musso, Romina F., Oddi, Facundo., Goldenberg, Matías G., Garibaldi, Lucas Alejandro (2020). Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina. NRC Research Press (Canadian Science Publishing); Canadian Journal of Forest Research; 50; 1-90045-50671208-6037https://rid.unrn.edu.ar/jspui/handle/20.500.12049/5156https://doi.org/10.1139/cjfr-2019-0440eng50Canadian Journal of Forest Researchinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-09-18T10:52:13Zoai:rid.unrn.edu.ar:20.500.12049/5156instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-09-18 10:52:13.778RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse
dc.title.none.fl_str_mv Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
title Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
spellingShingle Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
Gonzalez Musso, Romina F.
UAV
Shrublands
Structural Attributes
Photogrammetric Point Cloud
title_short Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
title_full Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
title_fullStr Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
title_full_unstemmed Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
title_sort Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina
dc.creator.none.fl_str_mv Gonzalez Musso, Romina F.
Oddi, Facundo J.
Goldenberg, Matías G.
Garibaldi, Lucas Alejandro
author Gonzalez Musso, Romina F.
author_facet Gonzalez Musso, Romina F.
Oddi, Facundo J.
Goldenberg, Matías G.
Garibaldi, Lucas Alejandro
author_role author
author2 Oddi, Facundo J.
Goldenberg, Matías G.
Garibaldi, Lucas Alejandro
author2_role author
author
author
dc.subject.none.fl_str_mv UAV
Shrublands
Structural Attributes
Photogrammetric Point Cloud
topic UAV
Shrublands
Structural Attributes
Photogrammetric Point Cloud
dc.description.none.fl_txt_mv Fil: Gonzalez Musso, Romina F. Universidad Nacional del Comahue. Argentina.
Fil: Oddi, Facundo J. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Oddi, Facundo J. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Goldenberg, Matías G. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Goldenberg, Matías G. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Unmanned aerial vehicles (UAVs) have gained attention for forestry applications in recent years. These technologies provide ultrahigh-resolution spatial data for detailed mapping of forest structure, among other forestry applications. UAVs have mainly been tested in high-value timber stands, but little is known about their performance in other woody ecosystems such as shrublands that also provide key ecosystem services. Field measurements in shrublands are time-consuming, so UAVs could be used instead to provide data for shrubland management and conservation. We tested whether UAVs could map common structural attributes in shrublands of northern Patagonia. We specifically evaluated the capability of UAV point clouds for mapping (i) canopy height, (ii) stand density, (iii) basal area, and (iv) volume. The agreement with the field measurements was satisfactory (R2 was up to 0.95 and relative root mean square error (rRMSE) ranged between 12% and 39%) and comparable with those found for coniferous forests in similar studies. This study is a first attempt to characterize the structure of Patagonian shrublands using UAV data. Despite the challenges and methodological aspects that need to be solved, our results encourage the use of UAVs in these types of ecosystems.
description Fil: Gonzalez Musso, Romina F. Universidad Nacional del Comahue. Argentina.
publishDate 2020
dc.date.none.fl_str_mv 2020-04
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 Gonzalez Musso, Romina F., Oddi, Facundo., Goldenberg, Matías G., Garibaldi, Lucas Alejandro (2020). Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina. NRC Research Press (Canadian Science Publishing); Canadian Journal of Forest Research; 50; 1-9
0045-5067
1208-6037
https://rid.unrn.edu.ar/jspui/handle/20.500.12049/5156
https://doi.org/10.1139/cjfr-2019-0440
identifier_str_mv Gonzalez Musso, Romina F., Oddi, Facundo., Goldenberg, Matías G., Garibaldi, Lucas Alejandro (2020). Applying unmanned aerial vehicles (UAVs) to map shrubland structural attributes in northern Patagonia, Argentina. NRC Research Press (Canadian Science Publishing); Canadian Journal of Forest Research; 50; 1-9
0045-5067
1208-6037
url https://rid.unrn.edu.ar/jspui/handle/20.500.12049/5156
https://doi.org/10.1139/cjfr-2019-0440
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 50
Canadian Journal of Forest Research
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv NRC Research Press (Canadian Science Publishing)
publisher.none.fl_str_mv NRC Research Press (Canadian Science Publishing)
dc.source.none.fl_str_mv reponame:RID-UNRN (UNRN)
instname:Universidad Nacional de Río Negro
reponame_str RID-UNRN (UNRN)
collection RID-UNRN (UNRN)
instname_str Universidad Nacional de Río Negro
repository.name.fl_str_mv RID-UNRN (UNRN) - Universidad Nacional de Río Negro
repository.mail.fl_str_mv rid@unrn.edu.ar
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