%0 Journal Article
%T Geometry accuracy of DSM in water body margin obtained from an RGB camera with NIR band and a multispectral sensor embedded in UAV
%A Ademir Marques Junior
%A Dalva Maria de Castro Vitti
%A Emilie Caroline Koste
%A Frederico F¨¢bio Mauad
%A Leonardo Campos Inocencio
%A Maur¨ªcio Roberto Veronez
%A Taina Thomassin Guimar£¿es
%J European Journal of Remote Sensing
%D 2019
%R https://doi.org/10.1080/22797254.2018.1547989
%X ABSTRACT The photogrammetry techniques are known to be accessible due to its low cost, while the geometric accuracy is a key point to ensure that models obtained from photogrammetry are a feasible solution. This work evaluated the discrepancies in 3D (DSM) and 2D (orthomosaic) models obtained from photogrammetry using control points (GCPs) near a reflective/refractive area (water body), where the objective was to evaluate these points, analysing the independence, normality and randomness and other basic statistic. The images were obtained with a 16 MP Canon PowerShot ELPH 110S with a modified NiR band and a multispectral sensor Parrot Sequoia, both embedded in a hex-rotor UAV in flight over the Unisinos University¡¯s artificial lake in the city of S£¿o Leopoldo, Rio Grande do Sul, Brazil. Due the distribution of the data found to be not normal, we applied non-parametric tests Chebyshev¡¯s Theorem and the Mann¨CWhitney¡¯s U test, where it showed that the values obtained from Sequoia DSM presented significant similarities with the values obtained from the GCP¡¯s considering the confidence level of 95%; however, this was not confirmed for the model generated from a Canon camera, showing that we found better results using the multispectral Parrot Sequoia
%U https://www.tandfonline.com/doi/full/10.1080/22797254.2018.1547989