Author ORCID Identifier
Date Available
8-2-2021
Year of Publication
2021
Document Type
Master's Thesis
Degree Name
Master of Science in Civil Engineering (MSCE)
College
Engineering
Department/School/Program
Civil Engineering
Advisor
Dr. Lindsey Sebastian Bryson
Abstract
Landslides are common and dangerous natural hazards that occur worldwide, often causing severe direct impacts on human lives, public and private properties. It is imperative to identify the landslide susceptible areas to avoid or mitigate the possible damage. Landslide prediction can be presented in a slope failure in spatial and/ or temporal terms. If it is presented in spatial term, it is considered a landslide susceptibility map (LSM) defined as the probability of spatial occurrence of slope failures. If it is presented in a combination of spatial and temporal distribution of the landslide susceptibility, it is commonly referred to as landslide hazard map (LHM). This document presents generation and comparison of LHM, and LSM using a remote sensing data. In addition, this paper shows the workflow of using multi-temporal UAV images to detect land movement and estimate soil moisture.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2021.369
Recommended Citation
Dashbold, Batmyagmar, "LANDSLIDE SITE ASSESSMENT AND CHARACTERIZATION USING REMOTE SENSING TECHNIQUES" (2021). Theses and Dissertations--Civil Engineering. 113.
https://uknowledge.uky.edu/ce_etds/113
Included in
Civil Engineering Commons, Geomorphology Commons, Geotechnical Engineering Commons, Soil Science Commons
