Mostrar el registro sencillo del ítem
dc.contributor.author
Díaz, Gastón Mauro
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.date.available
2023-12-07T12:57:40Z
dc.date.issued
2023-03
dc.identifier.citation
Díaz, Gastón Mauro; Optimizing forest canopy structure retrieval from smartphone-based hemispherical photography; Wiley; Methods in Ecology and Evolution; 14; 3; 3-2023; 875-884
dc.identifier.issn
2041-210X
dc.identifier.uri
http://hdl.handle.net/11336/219641
dc.description.abstract
Hemispherical photography (HP) is a long-standing tool for forest canopy characterization. Currently, there are low-cost fisheye lenses to convert smartphones into highly portable HP equipment (smartphone-based HP, hereafter SHP). However, there is an obstacle to having a close-to-ideal method for citizen science and large-scale or opportunistic sampling: the known sensitivity of HP to illumination conditions. The purpose of this paper is to test a ready-to-use approach based on previous research and to contribute to quantifying the errors associated with choosing SHP in non-recommended light conditions over well-established HP practices. In 30 locations distributed in broadleaf and coniferous woodlands, a total of 1080 photographs were taken with two smartphone models, manipulating the exposure, and under varied sky conditions. After image binarization, accurate reference data was employed to evaluate the reliability of extracting canopy parameters from SHP. The proposed methodology can reliably quantify canopy openness (RMSE ~0.04) and plant area index (RMSE ~0.4). Results suggest that SHP, when used following the recommendations of the present study, allows retrieval of reliable canopy metrics independently of sky conditions and forest type.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
CANOPY IMAGE
dc.subject
CANOPY METRICS
dc.subject
IMAGE PROCESSING
dc.subject
LEAF AREA INDEX
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.title
Optimizing forest canopy structure retrieval from smartphone-based 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
2023-12-06T15:00:38Z
dc.journal.volume
14
dc.journal.number
3
dc.journal.pagination
875-884
dc.journal.pais
Reino Unido
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
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.journal.title
Methods in Ecology and Evolution
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/2041-210X.14059
Archivos asociados