Simplified method of obtaining data for calculating the volume of earthworks based on aerial survey materials from UAVs

Land Cover Mapping & UAV

Authors

First and Last Name Academic degree E-mail Affiliation
Apollinarii Ostrovskyi No naokakao0 [at] gmail.com Lviv Polytechnic National University
Lviv, Ukraine
Ihor Kolb Ph.D. ihor.z.kolb [at] lpnu.ua Lviv Polytechnic National University
Lviv, Ukraine
Anatolii Vivat No Anatolii.y.vivat [at] lpnu.ua Lviv Polytechnic National University
Lviv, Ukraine
Viktor Lozynskyi Ph.D. viktor.lozynskyi [at] gmail.com Lviv Polytechnic National University
Lviv, Ukraine
Viacheslav Zhyvchuk Ph.D. sz-nc [at] ukr.net Hetman Petro Sahaidachnyi National Army Academy
Lviv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 26.08.2021 - 14:12
Abstract 

Widespread aerial photography with UAVs as a new and reliable method of obtaining data for calculating earthworks. A typical photogrammetric process of aerial photography is aimed at obtaining a dense cloud of points, which most accurately describes the shape of the terrain. But such technologies require financial infusions and do not always recoup the money invested in surveying equipment. The classic and most reliable methods of data acquisition include tacheometric survey and ground-based laser scanning. These methods are best suited for calculating simple geometric shapes (cube, cylinder, pyramid, etc.), because when using them it is very time consuming to perform detailed surveys. The aim of the work is to compare the method of determining the volume of earthworks using a total station and the photogrammetric method using a UAV. We used the photogrammetric method for two cases of modeling the surface of the pit - based on a network of aerotriangulation points (abbreviated photogrammetric processing) and with the construction of a dense cloud of 3D points (complete photogrammetric processing). Based on the construction site survey in Lviv, it is shown that surface modeling of the pit by a network of aerotriangulation points is a more efficient and accurate method compared to the construction of a dense cloud of 3D points with its subsequent rarefaction. The positive and negative features of the proposed approach are described.

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