Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
In mountainous and hilly areas such as Malaysia, rockfalls phenomena is a significant and ongoing threat to people and their properties in addition to infrastructure and transportation lines located within steep terrain. This is because such incidence can cause serious injuries and fatalities as...
Saved in:
Main Author: | Fanos, Ali Mutar |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/84166/1/FK%202019%20122%20-%20ir.pdf http://psasir.upm.edu.my/id/eprint/84166/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
by: Fanos, Ali Mutar
Published: (2016) -
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) -
Monitoring of landslide and change detection using remote sensing in Pahang / Yashida Ahmad Fouzy
by: Ahmad Fouzy, Yashida
Published: (2016) -
Monitoring of landslide and change detection using remote sensing in Pahang: article / Yashida Ahmad Fouzy
by: Ahmad Fouzy, Yashida
Published: (2016) -
Multi remote sensing data in landslide detection and modelling
by: Jebur, Mustafa Naemah
Published: (2015)