Combining InSAR and Time-Series Clustering to Reveal Deformation Patterns of the Heifangtai Loess Terrace
The Heifangtai Loess terrace in northwest China is frequently affected by landslides due to hydrological factors, establishing it as a significant research area for loess landslides. Advanced time-series InSAR technology facilitates the retrieval of surface deformation information, thereby aiding in...
Saved in:
| Main Authors: | Hao Xu, Bao Shu, Qin Zhang, Guohua Xiong, Li Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/3/429 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Incorporating Physical Constraint in Three-Dimensional Time Series InSAR Inversion for Urban Deformation Monitoring
by: Luyi Sun, et al.
Published: (2025-01-01) -
Multi-Scale Ground Deformation in Beijing Plain Revealed by a Joint 2D-FFT and MGWR Decomposition of InSAR Observation
by: Nian Feng, et al.
Published: (2025-01-01) -
Characterizing Surface Deformation of the Earthquake-Induced Daguangbao Landslide by Combining Satellite- and Ground-Based InSAR
by: Xiaomeng Wang, et al.
Published: (2024-12-01) -
Deep learning-based InSAR time-series deformation prediction in coal mine areas
by: Chuanzeng Shu, et al.
Published: (2025-05-01) -
Deep Learning for Automatic Detection of Volcanic and Earthquake-Related InSAR Deformation
by: Xu Liu, et al.
Published: (2025-02-01)