eprintid: 15891
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/58/91
datestamp: 2023-11-10 03:30:31
lastmod: 2023-11-10 03:30:31
status_changed: 2023-11-10 02:00:40
type: article
metadata_visibility: show
creators_name: Mohd Mokhtar, M.R.
creators_name: Wahab, S.N.A.
creators_name: Myint, K.C.
title: Assessing landslide exposure from soil characteristics using unmanned aerial vehicle (Uav)
ispublished: pub
keywords: Antennas; Data handling; Landslides; Moisture determination; Offshore oil well production, Close range photogrammetry; Cone penetrometers; Conventional methods; Landslide monitoring system; Monitoring instruments; Oven drying method; Processing engine; Soil characteristics, Unmanned aerial vehicles (UAV)
note: cited By 0; Conference of 6th International Conference on Civil, Offshore and Environmental Engineering, ICCOEE 2020 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:253689
abstract: The critically unstable slope may hinder conventional methods to be used since installing monitoring instruments on such slope may pose an unacceptable danger to the personnel and instruments involved. Due to this constraint, this study proposes a remote landslide monitoring system utilizing Unmanned Aerial Vehicle (UAV) as the platform for data capture and �spe-cialized� close-range-photogrammetry (CRP) as the processing engine for the data processing comparison of DEMs observed from different epochs will indicate the magnitude of slope movement. The researchers will discuss in detail the equipment utilized and procedures that have been followed during the experiments. The entire experiment comprises of: i) determination of moisture content (oven-drying method), and ii) determination of the liquid limit (cone penetrometer method). The primary evidence of slope movement was a set of flow paths of water flowing from the top of the hill slopes, especially when it rained, causing the deposition of soil on the foot of the slope in Seri Iskandar, Perak. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
date: 2021
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100765755&doi=10.1007%2f978-981-33-6311-3_126&partnerID=40&md5=3bfeb94a5a480caeadf1c8c2972f8ff5
id_number: 10.1007/978-981-33-6311-3₁₂₆
full_text_status: none
publication: Lecture Notes in Civil Engineering
volume: 132
pagerange: 1123-1129
refereed: TRUE
isbn: 9789813363106
issn: 23662557
citation:   Mohd Mokhtar, M.R. and Wahab, S.N.A. and Myint, K.C.  (2021) Assessing landslide exposure from soil characteristics using unmanned aerial vehicle (Uav).  Lecture Notes in Civil Engineering, 132.  pp. 1123-1129.  ISSN 23662557