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dc.contributor.author
Díaz, Gastón Mauro
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dc.contributor.author
Morh Bell, Diego
dc.contributor.author
Garret, Martin
dc.contributor.author
Muñoz, Lucas
dc.contributor.author
Lencinas, José Daniel
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dc.date.available
2022-06-29T17:49:02Z
dc.date.issued
2020-01
dc.identifier.citation
Díaz, Gastón Mauro; Morh Bell, Diego; Garret, Martin; Muñoz, Lucas; Lencinas, José Daniel; Customizing unmanned aircraft systems to reduce forest inventory costs: can oblique images substantially improve the 3D reconstruction of the canopy?; Taylor & Francis Ltd; International Journal of Remote Sensing; 41; 9; 1-2020; 3480-3510
dc.identifier.issn
0143-1161
dc.identifier.uri
http://hdl.handle.net/11336/160792
dc.description.abstract
Photogrammetry makes it possible to estimate forest canopy surface at lower costs than light detection and ranging (LiDAR), which is considered the best data source to evaluate forest structure. Recent studies even suggest that points of forest understories can be obtained by means of unmanned aerial photogrammetry. However, little is known about how the characteristics of image sets, processing workflows, and forest openness affect understory point surveying. For forest inventories, unmanned aircraft systems (UASs) of fixed-wing type are preferred because they can survey large areas. It has been shown that the accuracy of UAS photogrammetry tends to increase by adding oblique images but acquiring them with fixed-wing UASs is challenging. To address this challenge, we proposed a multi-camera array for acquiring oblique images with fixed-wing UASs. To test our idea, we built two customized UAS and surveyed an open pine plantation and a tall deciduous forest with variable overstory density. The open plantation was selected for optimizing the measurement of reference canopy surface points using a terrestrial laser scanner. In the deciduous forest, we obtained reference understory points from a leaf-off photogrammetry survey. We confirm that including oblique images in the image set is a good practice for forestry applications. Using the UASs to test whether a multi-camera system is better than a single-camera system for acquiring nadir-oblique image sets, we conclude that the advantages are (1) more efficient acquisition of oblique images and (2) better understory modelling in open canopies. The multi-camera acquisition of oblique images increases the understory point density, making the estimation of crown cover percentage and maximum canopy height more accurate, by 33 % and 50 %, respectively.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis Ltd
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
STRUCTUR FROM MOTION
dc.subject
AEREAL PHOTOGRAPHY
dc.subject
CANOPY HEIGHT
dc.subject
UAV
dc.subject
DRONE
dc.subject.classification
Otras Ingenierías y Tecnologías
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dc.subject.classification
Otras Ingenierías y Tecnologías
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Customizing unmanned aircraft systems to reduce forest inventory costs: can oblique images substantially improve the 3D reconstruction of the canopy?
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-06-28T14:59:02Z
dc.journal.volume
41
dc.journal.number
9
dc.journal.pagination
3480-3510
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Oxfordshire
dc.description.fil
Fil: Díaz, Gastón Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina
dc.description.fil
Fil: Morh Bell, Diego. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina
dc.description.fil
Fil: Garret, Martin. MapAer Soluciones Aereas; Argentina
dc.description.fil
Fil: Muñoz, Lucas. MapAer Soluciones Aereas; Argentina
dc.description.fil
Fil: Lencinas, José Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina
dc.journal.title
International Journal of Remote Sensing
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/01431161.2019.1706200
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/01431161.2019.1706200
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