Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/54474
Título: Estimativa de altura de um teste clonal de Eucalyptus em diferentes idades utilizando imagens aéreas de baixa altitude
Título(s) alternativo(s): Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging
Palavras-chave: Sensoriamento remoto; Aeronave remotamente pilotada.
Geoprocessamento
Aeronave remotamente pilotada
Remote sensing
Geo-processing
Remotely piloted aircraft
Data do documento: 2022
Editor: Instituto de Pesquisas e Estudos Florestais (IPEF)
Citação: MARTELLO, M. et al. Estimativa de altura de um teste clonal de Eucalyptus em diferentes idades utilizando imagens aéreas de baixa altitude. Scientia Forestalis, Piracicaba, v. 50, p. 1-13, 2022. DOI: 10.18671/scifor.v50.07.
Resumo: This study evaluated the performance of the estimation of Eucalyptus height using aerial images obtained with a remotely piloted aircraft (RPA). The study area is part of the Cooperative Program on Tolerance of Clonal Eucalyptus by Thermal and Biotic Water Stresses (TECHS-IPEF). Four aerial image acquisitions were carried out at different stages of plant development, evaluating 15 experimental plots, each with a different clone of Eucalyptus. The plots contained 5 rows, spaced at 2.3 m, with 4 plants in each row (also spaced at 2.3 m), totaling 20 trees and 5.06 m2 per plant. The image acquisition was done using aircrafts with digital cameras that had a sensitivity in the visible spectral region (RGB). The images were synchronized with a global navigation satellite system (GNSS) receiver for geo-referencing the information. The acquisition of stereoscopic images allowed the generation of three-dimensional models that were used to estimate the height of each eucalyptus plant, in each of the four image collections. The heights estimated with the RPA images were compared with height measurements performed in the field by means of linear regressions. The results showed an estimation performance with a coefficient of determination (R2) value higher than 0.75 and root mean square error (RMSE) lower than 3.94 m. It is concluded that height estimation using aerial images has a high potential for monitoring and evaluation Eucalyptus clones, and can be a useful tool to support the management of these areas.
URI: http://repositorio.ufla.br/jspui/handle/1/54474
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