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dc.contributor.author
Gonzalez Musso, Romina F.
dc.contributor.author
Oddi, Facundo José
dc.contributor.author
Goldenberg, Matías Guillermo
dc.contributor.author
Garibaldi, Lucas Alejandro
dc.date.available
2021-02-22T17:41:16Z
dc.date.issued
2020-04
dc.identifier.citation
Gonzalez Musso, Romina F.; Oddi, Facundo José; Goldenberg, Matías Guillermo; Garibaldi, Lucas Alejandro; Applying unmanned aerial vehicles (Uavs) to map shrubland structural attributes in northern patagonia, Argentina; National Research Council Canada-NRC Research Press; Canadian Journal Of Forest Research; 50; 7; 4-2020; 615-623
dc.identifier.issn
0045-5067
dc.identifier.uri
http://hdl.handle.net/11336/126254
dc.description.abstract
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 (R2was 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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
National Research Council Canada-NRC Research Press
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
PHOTOGRAMMETRIC POINT CLOUD
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SHRUBLANDS
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STRUCTURAL ATTRIBUTES
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UAV
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Silvicultura
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Agricultura, Silvicultura y Pesca
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CIENCIAS AGRÍCOLAS
dc.title
Applying unmanned aerial vehicles (Uavs) to map shrubland structural attributes in northern patagonia, Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-02-22T12:50:17Z
dc.journal.volume
50
dc.journal.number
7
dc.journal.pagination
615-623
dc.journal.pais
Canadá
dc.journal.ciudad
Otawa
dc.description.fil
Fil: Gonzalez Musso, Romina F.. Universidad Nacional del Comahue. Asentamiento Universidad San Martín de Los Andes; Argentina
dc.description.fil
Fil: Oddi, Facundo José. Universidad Nacional de Río Negro. Sede Andina. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
dc.description.fil
Fil: Goldenberg, Matías Guillermo. Universidad Nacional de Río Negro. Sede Andina. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
dc.description.fil
Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Sede Andina. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
dc.journal.title
Canadian Journal Of Forest Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nrcresearchpress.com/doi/10.1139/cjfr-2019-0440
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1139/cjfr-2019-0440
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