Monitoring and Analysis of Permafrost Deformation in Qilian mountains on Qinghai-Tibet Plateau Based on InSAR Data

Permafrost, a critical component of the cryosphere, significantly influences global climate, environmental sustainability, and human activities. This study examines permafrost dynamics on the Qinghai-Tibet Plateau (QTP) using multitemporal interferometric synthetic aperture radar (InSAR) observation...

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Bibliographic Details
Main Author: Lu, Liang
Other Authors: Qi, Ou
Format: Master Thesis
Language:English
Published: The University of Edinburgh 2024
Subjects:
Permafrost dynamics
Qinghai-Tibet Plateau (QTP)
InSAR
Sentinel-1
Environmental predictors
GSpatial analysis
round Deformation
Qilian Shan
Active layer thickness
permafrost
Online Access:https://hdl.handle.net/1842/42579
https://doi.org/10.7488/era/5273
Description
Summary:Permafrost, a critical component of the cryosphere, significantly influences global climate, environmental sustainability, and human activities. This study examines permafrost dynamics on the Qinghai-Tibet Plateau (QTP) using multitemporal interferometric synthetic aperture radar (InSAR) observations. We employed the LiCSBAS tool to analyze surface deformation data, generating average velocity and seasonal amplitude maps. Correlation analyses were conducted with environmental predictors such as soil properties, climate variables, and terrain characteristics. The results reveal significant spatial variations in permafrost dynamics, influenced by active layer thickness (ALT), mean annual ground temperature (MAGT), elevation, permafrost zonation index (PZI), and volumetric water content (VWC). The study underscores the link between permafrost and hydrological systems, highlighting the importance of meticulous preprocessing and high-resolution data for robust analytical outcomes. Despite computational constraints and reliance on line-of-sight (LOS) data, the insights gained provide a foundational framework for future research. This work emphasizes the need for advanced data processing techniques and high-resolution datasets in permafrost studies, contributing to a deeper scientific understanding and guiding future research methodologies.

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