dc.creator | Marín Buzón, Carmen | es |
dc.creator | Pérez Romero, Antonio Miguel | es |
dc.creator | Tucci Álvarez, Fabio | es |
dc.creator | Manzano Agugliaro, Francisco | es |
dc.date.accessioned | 2023-12-12T08:38:46Z | |
dc.date.available | 2023-12-12T08:38:46Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Marín Buzón, C., Pérez Romero, A.M., Tucci Álvarez, F. y Manzano Agugliaro, F. (2020). Assessing the Orange Tree Crown Volumes Using Google Maps as a Low‐Cost Photogrammetric Alternative. Agronomy, 10, 893. https://doi.org/10.3390/agronomy10060893. | |
dc.identifier.issn | 2073-4395 | es |
dc.identifier.uri | https://hdl.handle.net/11441/152383 | |
dc.description.abstract | The 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 |
dc.format | application/pdf | es |
dc.format.extent | 22 | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Agronomy, 10, 893. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Google maps | es |
dc.subject | photogrammetry | es |
dc.subject | HDS | es |
dc.subject | TLS | es |
dc.subject | LiDAR | es |
dc.subject | tree crown | es |
dc.subject | UAV | es |
dc.subject | orange tree | es |
dc.title | Assessing the Orange Tree Crown Volumes Using Google Maps as a Low‐Cost Photogrammetric Alternative | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Gráfica | es |
dc.identifier.doi | 10.3390/agronomy10060893 | es |
dc.journaltitle | Agronomy | es |
dc.publication.issue | 10 | es |
dc.publication.initialPage | 893 | es |