TY - GEN
T1 - 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
AU - Livaque, Julio Ronaldo Idrogo
AU - Vásquez, Germán Sagástegui
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - DTM
KW - Photogrammetry
KW - drone
KW - precision
KW - road
UR - https://www.scopus.com/pages/publications/85140043014
U2 - 10.18687/LACCEI2022.1.1.300
DO - 10.18687/LACCEI2022.1.1.300
M3 - Contribución a la conferencia
AN - SCOPUS:85140043014
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Y2 - 18 July 2022 through 22 July 2022
ER -