ANÁLISE DA ACURÁCIA DE ORTOFOTOS GERADAS POR UAS DE DIFERENTES TECNOLOGIAS DE POSICIONAMENTO E SENSORES RGB

This study evaluates the positional accuracy of orthophotos generated by five UAS configurations with different positioning technologies and RGB sensors for urban land regularization (REURB). The study area was Ponta das Canas, Florianópolis - SC (100,000 m²). Equipment tested included DJI Matrice 350 (LIDAR RGB, P1 camera, D-RTK2), Mavic 3 Multispectral RTK, Mavic 3 Enterprise RTK, and Mini 3. Orthophotos were processed in Agisoft Metashape and assessed using GeoPEC software. All orthophotos met NBR 17047:2022 tolerances for urban cadastral surveys (< 8 cm). Discrepancies among orthophotos were mainly at vertices obtained by line prolongation under dense vegetation. We conclude that UAS surveys support large-scale REURB, but terrestrial complementation remains necessary for hidden vertices.