Elisiane Alba

FOREST COVER ANALYSIS THROUGH THE WEIGHTS OF EVIDENCE METHOD IN THE CAMPANHA OCIDENTAL REGION - RS (BRAZIL)

1 Received on 10.02.2015 accepted for publication on 27.10.2016 2 Universidade Federal Rural de Pernambuco, Departamento de Ciência Florestal, Recife, PE Brasil. E-mail: <emanuelmadster@gmail.com>. 3 Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Sensoriamento Remoto, Porto Alegre, RS Brasil. E-mail: <tramontina.ju@gmail.com>. 4 Universidade Federal de Santa Maria, Programa de Pós-Graduação em Engenharia Florestal, Santa Maria, RS Brasil. Email: <elisianealba@gmail.com>. 5 Universidade Estadual de Santa Catarina, Programa de Pós-graduação em Ciência do Solo, Cidade, SC Brasil. E-mail: <lauragoergen@yahoo.com.br>. 6 Universidade Federal de Santa Maria, Mestrado em Engenharia Florestal, Santa Maria, RS Brasil. E-mail: <anefinger@yahoo.com.br>. 7 Universidade Federal de Santa Maria, Departamento de Engenharia Rural, Santa Maria, RS -Brasil. <rudiney.s.pereira@gmail.com *Corresponding author.

Caracterização espectral de plantios florestais com imagens Landsat 8/OLI para planejamento e manejo florestal

The objective of this work was to evaluate the use of Landsat 8/OLI images to differentiate the age and estimate the total volume of Pinus elliottii, in order to determine the applicability of these data in the planning and management of forest activity. Fifty-three sampling units were installed, and dendrometric variables of 9-and-10-year-old P. elliottii commercial stands were measured. The digital numbers of the image were converted into surface reflectance and, subsequently, vegetation indices were determined. Red and nearinfrared reflectance values were used to differentiate the ages of the stands. Regression analysis of the spectral variables was used to estimate the total volume. Increase in age caused an addition in reflectance in the near-infrared band and a decrease in the red band. The general equation for estimating the total volume for P. elliottii had an R2adj of 0.67 with a Syx of 31.46 m3 ha-1. Therefore, the spectral data with medium spatial resolution from the Landsat 8/OLI satellite can be used to distinguish the growth stages of the stands and can, thus, be used in the planning and proper management of forest activity on a spatial and temporal scale.