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dc.contributor.author
Díaz, Gastón Mauro
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dc.contributor.author
Lencinas, José Daniel
dc.date.available
2020-03-13T18:21:46Z
dc.date.issued
2018-07
dc.identifier.citation
Díaz, Gastón Mauro; Lencinas, José Daniel; Model-based local thresholding for canopy hemispherical photography; National Research Council Canada-NRC Research Press; Canadian Journal Of Forest Research; 48; 10; 7-2018; 1204-1216
dc.identifier.issn
0045-5067
dc.identifier.uri
http://hdl.handle.net/11336/99513
dc.description.abstract
Canopy hemispherical photography (HP) is widely used to estimate forest structural variables. To achieve good results with HP, a classification algorithm is needed to produce binary images to accurately estimate the gap fraction. Our aim was to develop a local thresholding method for binarizing carefully acquired hemispherical photographs. The method was implemented in the R package “caiman”. Working with photographs of artificial structures and using a linear model, our method turns the cumbersome problem of finding the optimal threshold value into a simpler one, which is estimating the digital number (DN) of the sky. Using hemispherical photographs of a deciduous forest, we compared our method with several standard and state-of-the-art binarization techniques. Our method was as accurate as the best-tested binarization techniques, regardless of the exposure, as long as it was between 0 and 2 stops over the open sky auto-exposure. Moreover, our method did not require knowing the exact relative exposure. Intending to balance accuracy and practicality, we mapped the sky DN using the values extracted from gaps. However, we discussed whether a more accurate but less practical way to map sky DN could provide, along with our method, a new benchmark.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
National Research Council Canada-NRC Research Press
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
CLUMPING INDEX
dc.subject
EXPOSURE
dc.subject
GAP FRACTION
dc.subject
LEAF AREA INDEX
dc.subject
LOCAL THRESHOLDING
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
Model-based local thresholding for canopy hemispherical photography
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-03-11T13:05:33Z
dc.journal.volume
48
dc.journal.number
10
dc.journal.pagination
1204-1216
dc.journal.pais
Canadá
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dc.journal.ciudad
Otawa
dc.description.fil
Fil: Díaz, Gastón Mauro. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Lencinas, José Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentina. Centro de Investigación y Extensión Forestal Andino Patagónico; Argentina
dc.journal.title
Canadian Journal Of Forest Research
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nrcresearchpress.com/doi/10.1139/cjfr-2018-0006#.XmvONHJKiUk
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1139/cjfr-2018-0006
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