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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1077–1083, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1077-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1077–1083, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1077-2022
 
30 May 2022
30 May 2022

EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS

M. L. L. Reiss1, T. S. G. Mendes2, F. F. Pereira4, M. R. M. de Andrade3, R. M. Mendes3, S. J. C. Simões2, R. de Lara5, and S. F. de Souza5 M. L. L. Reiss et al.
  • 1LAFOTO – Laboratory of Photogrammetry Research, Department of Geodesy, Institute of Geoscience, UFRGS – Federal University of Rio Grande do Sul, Brazil
  • 2Department of Environmental Engineering, Institute of Science and Technology – ICT, São Paulo State University – Unesp, São José dos Campos, São Paulo, Brazil
  • 3National Center for Monitoring and Early Warning of Natural Disasters - CEMADEN, São José dos Campos, São Paulo, Brazil
  • 4Graduate Program in Natural Disasters, UNESP/CEMADEN, São José dos Campos, São Paulo, Brazil
  • 5LAGEO – Laboratory of Geodesy, Department of Geodesy, Institute of Geoscience, UFRGS – Federal University of Rio Grande do Sul, Brazil

Keywords: Photogrammetry with UAV-RPAS-PPK, No Need for Control Points, Topographic Mapping, Natural Disasters, Risk Areas, Monitoring of Environmental Risks

Abstract. This work presents an evaluation of a small UAV-RPAS-PPK to be used in the generation of digital surface models (DSM), without the need for control points, having as main application the monitoring of disaster risk areas (landslide and flooding). The areas to be measured are difficult to access, which prevents or makes access to the land difficult. In this evaluation, a study area of approximately 13 km2 was flown over, an average pixel of 11.6 cm and a total of 417 photos. The equipment used to acquire the images was a SenseFly eBee X, equipped with GNSS PPK for Direct Georeferencing (DG) and a camera model S.O.D.A. In all, 42 ground checkpoints were measured using a dual-frequency GNSS receiver. For both the measurement of the checkpoints and for the Direct Georeferencing (DG) base of the Unmanned Aerial Vehicles (UAV), a relative processing was performed, using the Brazilian Network for Continuous Monitoring (RBMC) as a reference. With this evaluation, it was possible to achieve a result (RMSE) for phototriangulation better than 1.2 pixels for horizontal and 1.5 pixels for vertical, without the need to measure any control points on the ground.