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Article . 2021
License: CC BY
Data sources: Datacite
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Article . 2021
License: CC BY
Data sources: Datacite
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Reconstruction of a digital elevation model in a lab-scale urban drainage facility applying LiDAR and SfM techniques

Authors: Regueiro Picallo, Manuel; Sañudo, Esteban; Cea, Luis; Puertas, Jerónimo;

Reconstruction of a digital elevation model in a lab-scale urban drainage facility applying LiDAR and SfM techniques

Abstract

Paper presented at 2nd IAHR Young Professionals Congress Abstract: The use of visualization techniques for obtaining elevation maps with simple and relatively low-cost procedures, apart from conventional topographic methods, is widespread. In the field of urban drainage systems, numerical models require greater grid detail to solve complex hydraulic problems. This study presents the use of Structure from Motion (SfM) and Light Detection And Ranging (LiDAR) techniques to obtain the roof and pavement elevations of an urban drainage experimental module. The digital reconstructions obtained are both satisfactory, in terms of the detail of the elements, and similar between each other, with a mean vertical error for both surfaces less than 2 mm. The main discrepancies between both procedures lie in collecting and processing point clouds and meshes.

The work developed by Manuel Regueiro-Picallo is funded within the postdoctoral fellowship programme from the Xunta de Galicia (Consellería de Cultura, Educación e Universidade). The contract of Esteban Sañudo is funded by the INTERREG ATLANTIC AREA program through the project AA-FLOODS (EAPA_45/2018). This work received financial support from the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) within the project “SATURNO: Early warning against pluvial flooding in urban areas” (PID2020-118368RB-I00).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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