Retrospective Detection of Slow-Moving Landslide in Tathangchen, Gangtok using SBAS-InSAR Time-Series Analysis
Research Project OpenSARLab | MintPy | Sentinel-1 SAR Data | SBAS-InSAR
This project focuses on retrospective detection and monitoring of slow-moving landslides in the Tathangchen region of Gangtok, Sikkim Himalaya using SBAS-InSAR time-series analysis on Sentinel-1 SAR datasets.
The analysis was performed using OpenSARLab and MintPy to evaluate long-term ground deformation trends and identify subsidence-prone regions.
- Detect slow-moving landslide deformation patterns
- Analyze Line of Sight (LOS) displacement trends
- Perform time-series deformation monitoring
- Identify persistent subsidence zones
- Validate deformation signals with documented landslide locations
- Sentinel-1 SAR datasets
- OpenSARLab
- MintPy
- SBAS-InSAR time-series analysis
- Atmospheric correction
- Phase unwrapping
- Coherence masking
- Reference point selection
- LOS velocity estimation
- Pixel-level displacement analysis
- LOS surface velocities ranged from −13 to +11 cm/year
- Persistent subsidence observed in Tathangchen
- Deformation rate: 8–10 cm/year during 2020–2025
- Peak subsidence: 11.40 cm/year in 2021
- Deformation reduced to −2.16 cm/year by 2025
- Temporal variation in landslide activity was observed
Results were validated against documented landslide locations including:
- Tathangchen
- Dikchu
- Sangtok
- Tumlong
- Tibuk
| Category | Tools |
|---|---|
| Processing | MintPy, OpenSARLab |
| Data | Sentinel-1 SAR |
| Visualization | Google Earth Engine |
| Method | SBAS-InSAR |
| Language | Python |
- Landslide hazard assessment
- Ground deformation monitoring
- Urban slope stability analysis
- Disaster risk reduction planning
- Himalayan terrain monitoring
- Integration with rainfall datasets
- Multi-sensor InSAR comparison
This project utilized OpenSARLab cloud resources and the MintPy InSAR time-series analysis package.