Paper
21 June 2024 Surface deformation monitoring and analysis using PS-inSAR in Bortala Mongol Autonomous Prefecture
Yun Wang, Songpeng Wang
Author Affiliations +
Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131670X (2024) https://doi.org/10.1117/12.3029813
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China
Abstract
Based on PS-InSAR technology, surface deformation monitoring and analysis were conducted for the Bortala Mongol Autonomous Prefecture from 2015 to 2020. Through the processing and analysis of satellite remote sensing data, we obtained high spatiotemporal resolution information regarding surface deformation. The research results indicate that the deformation rates in most areas of the Bortala Mongol Autonomous Prefecture range from -10mm/year to 10mm/year. However, there are distinct surface deformations in 8 specific areas, with a cumulative deformation of around 300mm over the course of 5 years. The deformation is attributed to factors such as soil erosion and human engineering activities. These findings not only establish a scientific foundation for monitoring and preventing geological disasters in the region but also provide valuable insights for surface deformation monitoring in similar areas.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yun Wang and Songpeng Wang "Surface deformation monitoring and analysis using PS-inSAR in Bortala Mongol Autonomous Prefecture", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131670X (21 June 2024); https://doi.org/10.1117/12.3029813
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Deformation

Analytical research

Engineering

Environmental monitoring

Picosecond phenomena

Data processing

Image analysis

Back to Top