Collapse Hotspot Detection in Urban Area Using Sentinel-1 and TerraSAR-X Dataset with SBAS and PSI Techniques
Urban areas face an imminent risk of collapse due to structural deficiencies and gradual ground subsidence. Therefore, monitoring surface movements is crucial for detecting abnormal behavior, implementing timely preventive measures, and minimizing the detrimental effects of this phenomenon in reside...
Saved in:
| Main Authors: | Niloofar Alizadeh, Yasser Maghsoudi, Tayebe Managhebi, Saeed Azadnejad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/13/12/2237 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection of Railway Track Anomalies Using Interferometric Time Series of TerraSAR-X Satellite Radar Data
by: Philipp Bernhard, et al.
Published: (2024-01-01) -
Refinement Analysis of Real Dihedral and Trihedral CR-InSAR Based on TerraSAR-X and Sentinel-1A Images
by: Hui Liu, et al.
Published: (2024-01-01) -
Soil moisture estimation using multi linear regression with terraSAR-X data
by: G. García, et al.
Published: (2016-06-01) -
Investigating the InSAR Phase Bias in the SBAS Algorithm and Its Effect on Different Landcovers
by: Ebrahim Karami, et al.
Published: (2025-01-01) -
SBAS-InSAR Monitoring of Landslides and Glaciers Along the Karakoram Highway Between China and Pakistan
by: Basit Ali Khan, et al.
Published: (2025-02-01)