The Utility of LiCSBAS to Carry out InSAR Time Series to Analyze Surface Deformation: An Overview

Surface deformation analysis plays a crucial role in understanding geodetic phenomena and their implications for hazard assessment, infrastructure management, and environmental studies. In recent years, the incorporation of synthetic aperture radar (InSAR) and advanced processing techniques have be...

Full description

Saved in:
Bibliographic Details
Main Authors: Zuhour Katia Thamer, Ahmed H. Hamdullah, Mamoun Ubaid Mohammed, Md Tanvir Sowgath
Format: Article
Language:English
Published: middle technical university 2023-12-01
Series:Journal of Techniques
Subjects:
Online Access:https://journal.mtu.edu.iq/index.php/MTU/article/view/1639
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Surface deformation analysis plays a crucial role in understanding geodetic phenomena and their implications for hazard assessment, infrastructure management, and environmental studies. In recent years, the incorporation of synthetic aperture radar (InSAR) and advanced processing techniques have been used to monitor surface deformation. One such technique, LiCSBAS, has shown great promise in analyzing InSAR time series data to accurately detect and quantify surface displacements. It has been successfully employed in various geodetic monitoring scenarios such as landslide monitoring, infrastructure stability assessment, and volcanic deformation analysis. In this study, studies were reviewed in which performance evaluation and comparison of LiCSBAS with other technologies were discussed as well as future developments and challenges in this field. The results of a review of previous studies show the effectiveness of LiCSBAS in detecting and analyzing surface deformation, allowing for a better understanding of geodetic processes. This overview will provide a set of ideas that will assist stakeholders involved in surface deformation analysis and geodetic monitoring and contribute to decision-making to achieve sustainable development.
ISSN:1818-653X
2708-8383