Uniformity indices for young Eucalyptus plantations derived from drone

Authors

DOI:

https://doi.org/10.5902/1980509889931

Keywords:

Structural uniformity, Forest plantations, Ratio model

Abstract

Forest plantations exhibiting heterogeneous growth may experience production losses. In this context, understanding stand uniformity is essential for making silvicultural decisions regarding the area in which the plantation is established. Therefore, the objectives of this study were to: (a) investigate the feasibility of using drones to map the structural uniformity of forest plantations; and (b) demonstrate the applicability of uniformity indices for assessing the structure of young Eucalyptus plantations. The study was conducted in one-year-old clonal plantations located in Ortigueira, Paraná, Brazil. Drone imagery was acquired using the Phantom and Sequoia platforms, both equipped with red, green, and blue (RGB) sensors. A digital elevation model, a digital surface model, and an orthomosaic were generated from these images. The following uniformity indices were calculated: PH25, PH50, and PH75, CV%, and G. Indices derived from conventional forest inventory data were compared with those obtained from drone imagery using the chi-square (χ²) test. Plantation uniformity was successfully estimated from drone imagery. The uniformity indices derived from drone data did not differ significantly from those obtained using the conventional forest inventory method. The PH25 index may lead to a distorted interpretation of uniformity in plantations with high three mortality rates. The combined analysis of PH50, PH75 CV%, and G provides a more comprehensive assessment of plantation structural uniformity.

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Author Biographies

Adriane Avelhaneda Mallmann, Universidade Federal do Paraná

Forestry Engineer, PhD. in Forestry Engineer, Federal University of Paraná, Curitiba, PR, Brazil.

Claiton Nardini, Universidade Federal de Santa Maria

Forestry Engineer, PhD. in Forestry Engineer, Federal University of Santa Maria, Frederico Westphalen, RS, Brazil.

José Augusto Spiazzi Favarin, Universidade Federal do Paraná

Forestry Engineer, PhD. in Forestry Engineer, Federal University of Paraná, Curitiba, PR, Brazil.

Jonathan William Trautenmüller, Universidade de São Paulo

Forestry Engineer, PhD. in Forestry Engineer, Professor, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, Brazil.

Darcy Maria da Conceição Laura dos Santos, Universidade Federal do Paraná

Forestry Engineer, PhD. in Forestry Engineer, Federal University of Paraná, Curitiba, PR, Brazil.

Ana Paula Dalla Corte, Universidade Federal do Paraná

Forestry Engineer, PhD. in Forestry Engineer, Professor, Federal University of Paraná, Curitiba, PR, Brazil.

Kauana Engel, Universidade Federal do Paraná

Forestry Engineer, PhD. in Forestry Engineer, Federal University of Paraná, Curitiba, PR, Brazil.

Iací Dandara Santos Brasil, Universidade Federal Rural da Amazônia

Forestry Engineer, PhD. in Forestry Engineer, Professor, Federal Rural University of the Amazon, Capitão Poço, PA, Brazil.

Lucas Henderson Oliveira dos Santos, Universidade Federal do Paraná

Forestry Engineer, PhD. in Forestry Engineer, Federal University of Paraná, Curitiba, PR, Brazil.

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Published

2026-11-06

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