Comparison of GPS observations made in a forestry setting using functional data analysis

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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