Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope

Rock mass characterization is the first step in defining rock mass quality and stability. There are many rock mass classification schemes which are frequently used for different purposes such as for estimation of strength and deformability of rock masses, stability of rock slopes and underground m...

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Main Author: Nor Afiqah Adriana, Roslan
Format: Monograph
Language:en
Published: Universiti Sains Malaysia 2022
Subjects:
Online Access:http://eprints.usm.my/56964/1/Application%20Of%20Unmanned%20Aerial%20Vehicle%20%28UAV%29%20Photogrammetry%20Method%20For%20Rock%20Mass%20Rating%20Analysis%20Of%20A%20Rock%20Slope_Nor%20Afiqah%20Adriana%20Roslan.pdf
http://eprints.usm.my/56964/
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author Nor Afiqah Adriana, Roslan
author_facet Nor Afiqah Adriana, Roslan
author_sort Nor Afiqah Adriana, Roslan
building Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
description Rock mass characterization is the first step in defining rock mass quality and stability. There are many rock mass classification schemes which are frequently used for different purposes such as for estimation of strength and deformability of rock masses, stability of rock slopes and underground mining. Several techniques have been used in mapping the discontinuities of rock mass rating of a rock slope in this research such as manual mapping and UAV photogrammetry. The aim of this project is to study the geological properties of limestone rock, to analyse the rock mass properties of limestone rock using Rock Mass Rating (RMR) system and to compare the mapping method between the Unmanned Aerial Vehicle (UAV) and the conventional method. The software used in this project are Agisoft Metashape and Discontinuity Set Extractor (DSE). Next step is collection of data from case study area which then will proceed to the laboratory test such as point load test index. Based on the rock mass rating from manual mapping and point load strength index, this limestone is classified as “good rock”. From the mapping method between manual mapping and DSE analysis it shows that UAV mapping validated to manual mapping. However, the advantages using the UAV photogrammetry was able to obtain high precision of image of the discontinuity on slopes that are difficult to access on foot and managed to get more than four (4) joint sets which cannot obtain by manual mapping.
format Monograph
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institution Universiti Sains Malaysia
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publisher Universiti Sains Malaysia
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spelling my.usm.eprints.56964 http://eprints.usm.my/56964/ Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope Nor Afiqah Adriana, Roslan T Technology TN Mining Engineering. Metallurgy Rock mass characterization is the first step in defining rock mass quality and stability. There are many rock mass classification schemes which are frequently used for different purposes such as for estimation of strength and deformability of rock masses, stability of rock slopes and underground mining. Several techniques have been used in mapping the discontinuities of rock mass rating of a rock slope in this research such as manual mapping and UAV photogrammetry. The aim of this project is to study the geological properties of limestone rock, to analyse the rock mass properties of limestone rock using Rock Mass Rating (RMR) system and to compare the mapping method between the Unmanned Aerial Vehicle (UAV) and the conventional method. The software used in this project are Agisoft Metashape and Discontinuity Set Extractor (DSE). Next step is collection of data from case study area which then will proceed to the laboratory test such as point load test index. Based on the rock mass rating from manual mapping and point load strength index, this limestone is classified as “good rock”. From the mapping method between manual mapping and DSE analysis it shows that UAV mapping validated to manual mapping. However, the advantages using the UAV photogrammetry was able to obtain high precision of image of the discontinuity on slopes that are difficult to access on foot and managed to get more than four (4) joint sets which cannot obtain by manual mapping. Universiti Sains Malaysia 2022-08-19 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/56964/1/Application%20Of%20Unmanned%20Aerial%20Vehicle%20%28UAV%29%20Photogrammetry%20Method%20For%20Rock%20Mass%20Rating%20Analysis%20Of%20A%20Rock%20Slope_Nor%20Afiqah%20Adriana%20Roslan.pdf Nor Afiqah Adriana, Roslan (2022) Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Bahan dan Sumber Mineral. (Submitted)
spellingShingle T Technology
TN Mining Engineering. Metallurgy
Nor Afiqah Adriana, Roslan
Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope
title Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope
title_full Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope
title_fullStr Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope
title_full_unstemmed Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope
title_short Application Of Unmanned Aerial Vehicle (UAV) Photogrammetry Method For Rock Mass Rating Analysis Of A Rock Slope
title_sort application of unmanned aerial vehicle (uav) photogrammetry method for rock mass rating analysis of a rock slope
topic T Technology
TN Mining Engineering. Metallurgy
url http://eprints.usm.my/56964/1/Application%20Of%20Unmanned%20Aerial%20Vehicle%20%28UAV%29%20Photogrammetry%20Method%20For%20Rock%20Mass%20Rating%20Analysis%20Of%20A%20Rock%20Slope_Nor%20Afiqah%20Adriana%20Roslan.pdf
http://eprints.usm.my/56964/
url_provider http://eprints.usm.my/