COMBINED USE OF OFFICE TECHNIQUES FOR DETERMINING MOVEMENTS ON ROADS

Authors

  • García-Casquete Robert William Maestría Académica con Trayectoria Profesional en Ingeniería Civil, Mención Vialidad, Facultad de Posgrado de la Universidad Técnica de Manabí. Portoviejo, Ecuador.
  • Abreu-Hernández Dania Olga Universidad Tecnológica de La Habana "José Antonio Echeverría". La Habana, Cuba. https://orcid.org/0000-0003-1282-5387

Keywords:

Geomatics, Digital modeling, Civil engineering

Abstract

This research focused on the determination of displacements on the Tosagua-Bahía highway, specifically at the Casical site, through the combined use of Geomatics techniques. The main objectives were to systematize the existing literature on these techniques, develop an inventory of the current state of the road through visual inspection, and determine the dynamics of movements using multi-temporal analysis of images and digital terrain models. Various Geomatics methodologies were used, including image capture with unmanned aerial vehicles (UAV), geodetic techniques such as GPS, and geographic information systems (GIS). These methods allowed the generation of a digital elevation model (DEM) and a high-resolution orthomosaic, providing a detailed and accurate representation of the topography of the study area. The results obtained included a dense point cloud and DEM that accurately reflected the displacements and terrain characteristics. These findings were compared with similar research, demonstrating that the combined use of UAV, GPS and GIS is highly effective for monitoring road infrastructure. The integration of these technologies allowed the identification of risk areas and the planning of preventive and corrective measures.

Keywords: Geomatics, Digital modeling, Civil engineering.

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References

Becerra, C., & De Rurange, J. (2021). Análisis de deslizamiento mediante técnicas UAV y LIDAR en Ruta 115 CH, Paso Pehuenche, Sector Monjes Blancos, Región del Maule, Chile. Investigaciones Geográficas, (61), 87-98. https://doi.org/10.5354/0719-5370.2021.59646

Colomina, I., & Molina, P. (2014). Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79-97. https://doi.org/10.1016/j.isprsjprs.2014.02.013

Colomina, I., & Molina, P. (2014). Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79-97. https://doi.org/10.1016/j.isprsjprs.2014.02.013

Harwin, S., & Lucieer, A. (2012). Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from unmanned aerial vehicle (UAV) imagery. Remote Sensing, 4(6), 1573-1599. https://doi.org/10.3390/rs4061573

Harwin, S., & Lucieer, A. (2012). Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from unmanned aerial vehicle (UAV) imagery. Remote Sensing, 4(6), 1573-1599. https://doi.org/10.3390/rs4061573

James, M. R., & Robson, S. (2012). Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. Journal of Geophysical Research: Earth Surface, 117(F3). https://doi.org/10.1029/2011JF002289

Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2005). *Geographic Information Systems and Science*. John Wiley & Sons.

Micheletti, N., Chandler, J. H., & Lane, S. N. (2015). Structure from motion (SfM) photogrammetry. Geomorphology, 250, 300-314. https://doi.org/10.1016/j.geomorph.2014.10.021

Nappo, N., Mavrouli, O., Nex, F., van Westen, C., Gambillara, R., & Michetti, A. M. (2021). Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas. Engineering Geology, 294, 106363. https://doi.org/10.1016/j.enggeo.2021.106363

Nex, F., & Remondino, F. (2014). UAV for 3D mapping applications: A review. Applied Geomatics, 6(1), 1-15. https://doi.org/10.1007/s12518-013-0120-x

Pellicani, R., Argentiero, I., Manzari, P., Spilotro, G., Marzo, C., Ermini, R., & Apollonio, C. (2019). UAV and Airborne LiDAR Data for Interpreting Kinematic Evolution of Landslide Movements: The Case Study of the Montescaglioso Landslide (Southern Italy). Geociencias, 9(6), 248. https://doi.org/10.3390/geosciences9060248

Rossi, G., Tanteri, L., Tofani, V., Vannocci, P., Moretti, S., & Casagli, N. (2018). Multitemporal UAV surveys for landslide mapping and characterization. Landslides 15, 1045–1052. https://doi.org/10.1007/s10346-018-0978-0.

Turner, D., Lucieer, A., & Watson, C. (2012). An automated technique for generating georectified mosaics from ultra-high resolution Unmanned Aerial Vehicle (UAV) imagery, based on Structure from Motion (SfM) point clouds. Remote Sensing, 4(5), 1392-1410. https://doi.org/10.3390/rs4051392

Zhao, C., & Lu, Z. (2018). Remote sensing of landslides—A review. Remote Sensing, 10(2), 279. https://doi.org/10.3390/rs10020279.

Published

2024-07-10

How to Cite

García-Casquete, R. W., & Abreu-Hernández, D. O. (2024). COMBINED USE OF OFFICE TECHNIQUES FOR DETERMINING MOVEMENTS ON ROADS . Scientific Journal INGENIAR: Engineering, Technology and Research, 7(14), 61-81. Retrieved from https://www.journalingeniar.org/index.php/ingeniar/article/view/210