Evaluation of Positional Accuracy of Data Generated Using Remotely Piloted Aircraft

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Dayanne Vieira Oliveira
Jorge Luís Silva Brito
https://orcid.org/0000-0002-9884-3289

Abstract

Remotely Piloted Aircraft (RPA) is of equipment available in the market to obtain high-resolution aerial imagery. Considering the rapid acceptance of this equipment in the civilian environment, this study aims to evaluate the positional accuracy of data obtained using a PHANTOM-3 for topographic mapping purposes and possibility of use in cadastral cartography. The methodology included: flight planning; the collection of 52 control points, collected through post-processing static positioning using GNSS receptors and geometric levelling using a Ruide DL-202 Digital Level; creation of target flags and photogrammetric processing using the software Pix4Dmapper Pro - Trial. The accuracy evaluation was performed using orthomosaic and DTM obtained: without the use of control points (PC); using distributed PC; and, using PC grouped to the scale of 1:1.000 through tendency analysis, using inferential statistics, and precision analysis, through the Chi-Square test and the decree-law 89.817/ET-CQDG. In order to compare the discrepancies obtained between the test positional data and the reference data in different distributions of the PC, it was used the Analysis of Variance and the Tukey test. The results obtained regarding the planimetric positional accuracy were approved for the images Distributed PC and Grouped PC. In addition, the Tukey test pointed out that these images do not differ statistically from each other. Therefore, RPA using PC might be used for large scale urban topographic mapping, once it is capable of providing products planimetric with acceptable cartographic standards to generate cadastral cartography.

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How to Cite
OLIVEIRA, D. V.; BRITO, J. L. S. Evaluation of Positional Accuracy of Data Generated Using Remotely Piloted Aircraft. Brazilian Journal of Cartography, [S. l.], v. 71, n. 4, p. 934–959, 2019. DOI: 10.14393/rbcv71n4-50086. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/50086. Acesso em: 24 dec. 2024.
Section
Original Articles
Author Biography

Dayanne Vieira Oliveira, Universidade Federal de Uberlândia

Ciencias exatas e da Terra (cartografia e agrimensura)