Geospatial interpolation techniques in Eucalyptus spp. volume estimation in the southeast paraense’s mesoregion
DOI:
https://doi.org/10.6008/CBPC2179-6858.2020.005.0005Keywords:
Krigging, Map, Semivariogram, Forestry 4.0Abstract
The Brazilian forest sector is growing, consequently, increasing the demand on foresters in relation to productivity and forest management, causing the sector's evolution to the 4.0 frontier. For this, there is subsidy of tools that provide cost reduction and productivity increase. The aim of this study was to evaluate the performance of geostatistical analyses, under different semivariograms, to model and map the volume of Eucalyptus spp. stands. The study was carried out at the Piquiá Farm, Paragominas municipality, southeast Pará mesoregion, where the pre-cut inventory was performed in 35 blocks, with 694.40 ha. A total of 148 temporary plots measuring 504 m² were allocated and measured. The volumetry (m³.ha-1) of each plot was interpolated by Ordinary Krigging, based on spherical, exponential, gaussian and pentaespherical semivariograms. The Pentaespherical semivariogram obtained the highest range value. The nugget effect ranged from 0 to 537.56 for Exponential and Gaussian semivariograms, respectively. Spatial dependence was strong for Spherical and Pentaespherical. All semivariograms had R² > 0.90. The RMSE ranged from 30.77 to 31.43 m³.ha-1. The geospatial model underestimated the total volume by 2.27 %, generating a sampling error of 1.68 %. The geostatistical map shows that the distribution of volumes in the stand is not homogeneous, so that the mean values use does not correctly characterize the area variability. The ordinary krigging geospatial model with Pentaespherical semivariogram was the one that best fitted, serving as an auxiliary tool to traditional forest inventories.
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