Author ORCID Identifier

https://orcid.org/0000-0002-1197-1668

Year of Publication

2021

Degree Name

Master of Science in Civil Engineering (MSCE)

Document Type

Master's Thesis

College

Engineering

Department/School/Program

Civil Engineering

First 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

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