Optimized techniques for landslide detection and characteristics using LiDAR data

QR Code

Optimized techniques for landslide detection and characteristics using LiDAR data

Landslides are one of the major natural disasters that cause severe damage to lives and properties worldwide. Historically, landslide occurrences are usually mapped by taking inventory of location and magnitude of the landslide in a region. This information is used to examine and manage slope fai...

Full description

Bibliographic Details
Main Author:	Mezaal, Mustafa Ridha
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Landslide hazard analysis - Case studies Remote sensing
Online Access:	http://psasir.upm.edu.my/id/eprint/71232/ http://psasir.upm.edu.my/id/eprint/71232/1/FK%202018%2079%20IR%2811%29edited.pdf

Similar Items

Development of landslide risk maps using high resolution airborne LiDAR data
by: Mohd Yusof, Norbazlan
Published: (2016)

Multi remote sensing data in landslide detection and modelling
by: Jebur, Mustafa Naemah
Published: (2015)

Landslide Hazard Analysis Using Frequency Ratio Model
by: Jadda, Mehrnoosh
Published: (2009)

Lineament mapping and its application in landslide hazard assessment: a review.
by: Ramli, Mohammad Firuz, et al.
Published: (2010)

Landslide vulnerability and risk assessment for multihazard scenarios using airborne laser scanning data
by: Abdulwahid, Waleed Mohammed
Published: (2016)

Development of a new LiDAR database management system using open source software
by: Ahmad Arshad, Khairil Izwan
Published: (2016)

Spatial prediction of landslide hazards and risk areas using integrated statistical and data mining approaches
by: Althuwaynee, Omar Faisal S.
Published: (2014)

Geographical information system (GIS) based multi-criteria decision making (MCDM) for landslide hazard zonation : a case study of Ampang Jaya Municipal Council / Ainon Nisa Othman
by: Othman, Ainon Nisa
Published: (2014)

Landslide susceptibility analysis using sinmap in Fraser's Hill, Malaysia
by: Rosli, Mohd Hafiz
Published: (2012)

Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed
by: Mohamed, Nur Amalina
Published: (2020)

Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos
by: Mezaal, Al-Karawi Mustafa Ridha, et al.
Published: (2017)

Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
by: Fanos, Ali Mutar
Published: (2016)

Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
by: Fanos, Ali Mutar
Published: (2019)

A universal parameter to predict subaerial landslide tsunamis?
by: Heller, Valentin, et al.
Published: (2014)

Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid
by: Khalid, Nurul Syafiqah
Published: (2020)

Assessment of snowmelt triggered landslide hazard and risk in Japan
by: Kawagoe, S., et al.
Published: (2009)

Optimized hierarchical rule-based classification for differentiating shallow and deep-seated landslide using high-resolution LiDAR data
by: Mezaal, Al-Karawi Mustafa Ridha, et al.
Published: (2017)

Development of landslide tolerable and acceptable risk criteria for Malaysia
by: Sim, Kwan Ben
Published: (2025)

Assessing Reef island sensitivity based on LiDAR-derived morphometric indicators
by: Bonesso, J.L., et al.
Published: (2020)

The potential of LiDAR application in Malaysia.
by: Ismail, Mohd Hasmadi, et al.
Published: (2011)

Open source geographical resources analysis support system (GRASS) for landslide hazard assessment
by: Ramli, Mohammad Firuz, et al.
Published: (2005)

Comparative studies of remotely sensed coastline mapping techniques / Siti Aekbal Salleh, Nurhanis Syazlia Hasshim and Nor Aizam Adnan
by: Salleh, Siti Aekbal, et al.
Published: (2015)

The devastating Zhouqu storm-triggered debris flow of August 2010: Likely causes and possible trends in a future warming climate
by: Ren, Diandong
Published: (2014)

Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
by: Jebur, Mustafa Neamah, et al.
Published: (2014)

Integration of remotely sensed data and GIS in NRCS model / Nuratifah Zaharudin
by: Zaharudin, Nuratifah
Published: (2008)

Determination of Chlorophyll-A and Total Suspended Sediment Using Airborne Remote Sensing Data
by: Jasni, Akmalhisham
Published: (2007)

Best band combination for landslide studies in temperate environments
by: Ramli, Mohammad Firuz, et al.
Published: (2006)

Quality assessment for automatic LiDAR data classification methods
by: Caceres, A., et al.
Published: (2017)

On the effect of the water body geometry on landslide–tsunamis: physical insight from laboratory tests and 2D to 3D wave parameter transformation
by: Heller, Valentin, et al.
Published: (2015)

Identification of tourist area from remotely sensed data.
by: Hassan, Azmi, et al.
Published: (1989)

Benthic habitat mapping and coral bleaching detection using quickbird imagery and Kd algorithm
by: Kabiri, Keivan
Published: (2013)

Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
by: Teoh, Chin Chuang
Published: (2005)

Numerical characterisation of landslide-tsunamis in idealised and real water bodies
by: Ruffini, Gioele
Published: (2020)

Attitude control simulation of small satellites with reaction wheels
by: Ismail, Zuliana
Published: (2009)

Building detection using object-based Image analysis (OBIA) and machine learning (ML) algorithms / Hanani Mohd Shahar
by: Mohd Shahar, Hanani
Published: (2020)

Analysis of landslide prediction as related to landuse changes in Perlis / Nur Syahira Rashid
by: Rashid, Nur Syahira
Published: (2018)

Analysis on subdivision technical practice between Malaysia and Thailand in cadastral application / Muhammad Afiq Ikhwan Hamidi
by: Hamidi, Muhammad Afiq Ikhwan
Published: (2020)

Assessment of pleiades satellite image for mangrove forest classification / Sharul Nizam Rosli
by: Rosli, Sharul Nizam
Published: (2020)

Wave Spectra and Shoreline Change Studies by Remote Sensing
by: Marghany, Maged Mahmoud
Published: (2000)

Comparison between object based classfication and pixel based classfication technique to detect deforestation in Ulu Muda forest reserve, Kedah / Shahrul Nizam Jamaludin
by: Jamaludin, Shahrul Nizam
Published: (2018)