Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study
Rock Mass Rating (RMR) is an effective method in assessing rock stability conditions. Rock slope instability and failures can be attributed to various factors, including unfavourable slope geometries, the presence of water, geological discontinuities, weak or weathered slope materials, and extreme w...
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/103569/ http://dx.doi.org/10.1016/j.pce.2022.103161 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.103569 |
---|---|
record_format |
eprints |
spelling |
my.utm.1035692023-11-20T02:48:23Z http://eprints.utm.my/103569/ Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study Ismail, Afiqah A. Rashid, Ahmad Safuan Sa’ari, Radzuan Rasib, Abd. Wahid Mustaffar, Mushairry Abdullah, Rini Asnida Kassim, Azman Mohd. Yusof, Norbazlan Abd. Rahaman, Norisam Mohd. Apandi, Nazirah Kalatehjari, Roohollah TA Engineering (General). Civil engineering (General) Rock Mass Rating (RMR) is an effective method in assessing rock stability conditions. Rock slope instability and failures can be attributed to various factors, including unfavourable slope geometries, the presence of water, geological discontinuities, weak or weathered slope materials, and extreme weather conditions. The main factor highlighted in this research is the presence of water and the weakening effect of the slope-water interaction. Traditionally, RMR is measured through the conventional method, and this parameter is determined by visual observation. However, this is of limited use if the study area is large and/or difficult to access. The digital remote sensing method proposed by the current study can overcome this limitation. This method uses two different compact remote sensors (RS) mounted within an Unmanned Aerial Vehicle (UAV), namely, a Red Green Blue (RGB) sensor, with a spectrum ranging from 0.4 μm to 0.7 μm, and Near-Infrared (NIR) sensor, with a spectrum ranging from 0.7 μm to 1.3 μm. The Normalised Difference Water Index (NDWI) algorithm is then used to generate the existence of water bodies on the rock surface and classify the water condition, following the RMR classification. The effectiveness and validity of the proposed method were proved by comparing the results of the NDWI method with a site survey; the classification of water conditions in RMR was aided by the digital remote sensing method. The water classification conditions are: < 0 = rate 15 (dry), 0.00–0.15 = rate 10 (damp), 0.16–0.25 = rate 7 (wet), and 0.26–0.40 = rate 4 (dripping). Elsevier Ltd 2022-10 Article PeerReviewed Ismail, Afiqah and A. Rashid, Ahmad Safuan and Sa’ari, Radzuan and Rasib, Abd. Wahid and Mustaffar, Mushairry and Abdullah, Rini Asnida and Kassim, Azman and Mohd. Yusof, Norbazlan and Abd. Rahaman, Norisam and Mohd. Apandi, Nazirah and Kalatehjari, Roohollah (2022) Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study. Physics and Chemistry of the Earth, 127 (NA). pp. 1-11. ISSN 1474-7065 http://dx.doi.org/10.1016/j.pce.2022.103161 DOI:10.1016/j.pce.2022.103161 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
TA Engineering (General). Civil engineering (General) |
spellingShingle |
TA Engineering (General). Civil engineering (General) Ismail, Afiqah A. Rashid, Ahmad Safuan Sa’ari, Radzuan Rasib, Abd. Wahid Mustaffar, Mushairry Abdullah, Rini Asnida Kassim, Azman Mohd. Yusof, Norbazlan Abd. Rahaman, Norisam Mohd. Apandi, Nazirah Kalatehjari, Roohollah Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study |
description |
Rock Mass Rating (RMR) is an effective method in assessing rock stability conditions. Rock slope instability and failures can be attributed to various factors, including unfavourable slope geometries, the presence of water, geological discontinuities, weak or weathered slope materials, and extreme weather conditions. The main factor highlighted in this research is the presence of water and the weakening effect of the slope-water interaction. Traditionally, RMR is measured through the conventional method, and this parameter is determined by visual observation. However, this is of limited use if the study area is large and/or difficult to access. The digital remote sensing method proposed by the current study can overcome this limitation. This method uses two different compact remote sensors (RS) mounted within an Unmanned Aerial Vehicle (UAV), namely, a Red Green Blue (RGB) sensor, with a spectrum ranging from 0.4 μm to 0.7 μm, and Near-Infrared (NIR) sensor, with a spectrum ranging from 0.7 μm to 1.3 μm. The Normalised Difference Water Index (NDWI) algorithm is then used to generate the existence of water bodies on the rock surface and classify the water condition, following the RMR classification. The effectiveness and validity of the proposed method were proved by comparing the results of the NDWI method with a site survey; the classification of water conditions in RMR was aided by the digital remote sensing method. The water classification conditions are: < 0 = rate 15 (dry), 0.00–0.15 = rate 10 (damp), 0.16–0.25 = rate 7 (wet), and 0.26–0.40 = rate 4 (dripping). |
format |
Article |
author |
Ismail, Afiqah A. Rashid, Ahmad Safuan Sa’ari, Radzuan Rasib, Abd. Wahid Mustaffar, Mushairry Abdullah, Rini Asnida Kassim, Azman Mohd. Yusof, Norbazlan Abd. Rahaman, Norisam Mohd. Apandi, Nazirah Kalatehjari, Roohollah |
author_facet |
Ismail, Afiqah A. Rashid, Ahmad Safuan Sa’ari, Radzuan Rasib, Abd. Wahid Mustaffar, Mushairry Abdullah, Rini Asnida Kassim, Azman Mohd. Yusof, Norbazlan Abd. Rahaman, Norisam Mohd. Apandi, Nazirah Kalatehjari, Roohollah |
author_sort |
Ismail, Afiqah |
title |
Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study |
title_short |
Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study |
title_full |
Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study |
title_fullStr |
Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study |
title_full_unstemmed |
Application of UAV-based photogrammetry and normalised water index (NDWI) to estimate the rock mass rating (RMR): a case study |
title_sort |
application of uav-based photogrammetry and normalised water index (ndwi) to estimate the rock mass rating (rmr): a case study |
publisher |
Elsevier Ltd |
publishDate |
2022 |
url |
http://eprints.utm.my/103569/ http://dx.doi.org/10.1016/j.pce.2022.103161 |
_version_ |
1783876383543394304 |
score |
13.209306 |