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Precisión del modelo digital de terreno (MDT), considerando el número de puntos de apoyo terrestre en un levantamiento fotogramétrico aplicado en la carretera Pampa Grande-Tablazos, Provincia de Chiclayo

  • Universidad Privada del Norte

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The present study evaluates the accuracy of the digital terrain model (DTM) regarding the number of control points (“P.A.”) in a photogrammetric survey with a drone, applied on the road between Pampa Grande and Tablazos, with 8917 meters of development, in the province of Chiclayo, Peru. The “P.A.” number determines the accuracy of each processed model, from the photo orientation phase; affecting the other deliverables generated, such as the DSM (digital surface model), DTM and orthophotography. It started with 0 P.A. in Model No. 1, up to 141 P.A. in Model No. 15. The number of check points (“P.C.”) that were used to verify the precision was 27. After processing the data with statistical software, it is concluded that, for the design of the photogrammetric survey project and the methodology followed, 7 “P.A.”/km are needed to achieve accuracy of the DTM in valid margins. Of the processed models, they are valid from Model No. 8. From this model the "surface" was generated starting from the DTM, in Autodesk Civil3D, where the contour lines were created with excellent detail, remaining as a canvas for the design of civil projects.

Título traducido de la contribuciónAccuracy of the digital terrain model (DTM), considering the number of ground support points in a photogrammetric survey applied on the Pampa Grande-Tablazos highway, Chiclayo Province
Idioma originalEspañol
Título de la publicación alojada20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022
EditoresMaria M. Larrondo Petrie, Jose Texier, Andrea Pena, Jose Angel Sanchez Viloria
ISBN (versión digital)9786289520705
DOI
EstadoPublicada - 2022
Evento20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022 - Boca Raton, Estados Unidos
Duración: 18 jul. 202222 jul. 2022

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2022-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
País/TerritorioEstados Unidos
CiudadBoca Raton
Período18/07/2222/07/22

Palabras clave

  • DTM
  • Photogrammetry
  • drone
  • precision
  • road

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