Abstract
Geographic positioning system receiver observations made in forestry settings are affected by data distortion and signal losses and this negatively affects precision and accuracy measurements. Using a technique for identifying functional outliers, we determine whether there are differences between errors for coordinates obtained at 10 different points of a forest characterized by a set of dasometric data. Our results indicate that the 2 points with the highest error correspond to areas with dasometric values that would indicate these areas to have a more dense forest canopy than the remaining areas.
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