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dc.contributor.authorMarín Buzón, Carmen
dc.contributor.authorPérez Romero, Antonio Miguel
dc.contributor.authorTucci Álvarez, Fabio
dc.contributor.authorManzano Agugliaro, Francisco
dc.date.accessioned2020-07-06T11:00:11Z
dc.date.available2020-07-06T11:00:11Z
dc.date.issued2020-06-23
dc.identifier.issn2073-4395
dc.identifier.urihttp://hdl.handle.net/10835/8317
dc.description.abstractThe accurate assessment of tree crowns is important for agriculture, for example, to adjust spraying rates, to adjust irrigation rates or even to estimate biomass. Among the available methodologies, there are the traditional methods that estimate with a three-dimensional approximation figure, the HDS (High Definition Survey), or TLS (Terrestrial Laser Scanning) based on LiDAR technology, the aerial photogrammetry that has re-emerged with unmanned aerial vehicles (UAVs), as they are considered low cost. There are situations where either the cost or location does not allow for modern methods and prices such as HDS or the use of UAVs. This study proposes, as an alternative methodology, the evaluation of images extracted from Google Maps (GM) for the calculation of tree crown volume. For this purpose, measurements were taken on orange trees in the south of Spain using the four methods mentioned above to evaluate the suitability, accuracy, and limitations of GM. Using the HDS method as a reference, the photogrammetric method with UAV images has shown an average error of 10%, GM has obtained approximately 50%, while the traditional methods, in our case considering ellipsoids, have obtained 100% error. Therefore, the results with GM are encouraging and open new perspectives for the estimation of tree crown volumes at low cost compared to HDS, and without geographical flight restrictions like those of UAVs.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGoogle mapses_ES
dc.subjectphotogrammetryes_ES
dc.subjectHDSes_ES
dc.subjectTLSes_ES
dc.subjectLiDARes_ES
dc.subjecttree crownes_ES
dc.subjectUAVes_ES
dc.subjectorange treees_ES
dc.titleAssessing the Orange Tree Crown Volumes Using Google Maps as a Low-Cost Photogrammetric Alternativees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2073-4395/10/6/893es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional