Andmebaasi logo
 

Accuracy of waste stockpile volume calculations based on UAV Photogrammetry

Laen...
Pisipilt

Kuupäev

2023

Kättesaadav alates

Autorid

Künnapuu, Rauno
Kokamägi, Kaupo
Liba, Natalja

Ajakirja pealkiri

Ajakirja ISSN

Köite pealkiri

Kirjastaja

Estonian University of Life Sciences

Abstrakt

In environmental supervision, it is necessary to measure waste piles volume to determine whether the activities of the waste manager comply with the established requirements. The aim of this research is to determine whether the model, formed from images collected with low-priced unmanned aerial vehicle (UAV) - not with Real Time Kinematic Global Navigation Satellite System (RTK GNSS) capability - is sufficiently accurate to carry out waste-related surveying. Data collection took place in spring 2021 at the Aardlapalu transhipment station in Tartu County. The objects of the research were an unscreened composting pile and a covered composting pile. In the fieldwork, terrestrial laser scanning and photogrammetric flight were carried out. The reference value was the volume of the model formed from the data of laser scan. The volumes of all models formed by the photogrammetric method were within the permissible difference of 10% provided by law. The most accurate results were obtained from the covered composting pile with an overlap of 70% × 70% and 21 ground control points (GCPs). Using these parameters, the absolute error of the model was 1.48 m³ and the relative error was 0.65%. The most inaccurate results were obtained from the unscreened composting pile with an overlap of 80% × 80% and 21 GCP-s. The research confirmed the hypothesis that sufficient accuracy to calculate waste piles volumes can also be achieved by using a cheaper UAV and camera and with software not specially designed for photogrammetry, design, and drawing.

Kirjeldus

Received: February 1st, 2023 ; Accepted: June 3rd, 2023 ; Published: July 6th, 2023 ; Correspondence: raunokunnapuu@gmail.com

Märksõnad

3D modelling, digital image, ground control point, mean square error, photogrammetry, articles

Viide

Kollektsioonid