📘 Day-1: Introduction to SAR & InSAR Fundamentals

Objective: Build the foundation of radar remote sensing concepts.
Topics:

• What is Synthetic Aperture Radar (SAR)?
• Active vs. Passive remote sensing
• Sentinel-1 mission overview (C-band, IW mode, dual polarization)
• SAR imaging geometry (slant range, ground range, incidence angle)
• Understanding coherence, phase, and amplitude
• Applications of SAR and InSAR (deformation, land subsidence, landslides)
  Practical:
• Install SNAP & Sentinel Toolbox plugins
• Load and visualize Sentinel-1 data
• Explore metadata and polarizations

📘 Day-2: Sentinel-1 Data Download & Preprocessing

Objective: Learn complete preprocessing of SAR data.
Topics:

• Sentinel-1 acquisition modes & product levels (SLC, GRD, etc.)
• Downloading Sentinel-1 data (Copernicus Hub, ASF Vertex, EO Browser)
• SLC vs. GRD – which one for InSAR?
• Radiometric calibration, orbit file application
• Speckle filtering techniques (Lee, Refined Lee, Gamma-MAP)
• Terrain correction & geocoding
  Practical:
• Step-by-step preprocessing workflow in SNAP
• Generate Sigma0 and Gamma0 backscatter images
• Export GeoTIFFs to QGIS

📘 Day-3: Coregistration and Interferogram Generation

Objective: Understand interferometric pair processing.
Topics:

• Master and slave image selection
• Precise orbit correction and co-registration
• Interferogram formation (phase difference)
• Understanding coherence maps
• Multilooking and phase filtering
  Practical:
• Generate interferograms using SNAP
• Visualize fringe patterns
• Export wrapped phase images

📘 Day-4: Phase Unwrapping and DEM Integration

Objective: Convert phase to topographic height or deformation.
Topics:

• What is phase unwrapping and why it’s needed
• DEM correction and removal of topographic phase
• Goldstein and SNAPHU unwrapping methods
• Conversion of phase to line-of-sight displacement
  Practical:
• Integrate external DEM (SRTM, Copernicus 30m)
• Run phase unwrapping in SNAP
• Export deformation raster

📘 Day-5: Time Series Analysis using StaMPS

Objective: Advanced deformation monitoring through Persistent Scatterers (PS-InSAR).
Topics:

• Principles of PS-InSAR and SBAS
• SNAP–StaMPS interoperability
• PSI workflow setup (export from SNAP to StaMPS)
• Time series deformation analysis
• Deformation velocity maps and trend visualization
  Practical:
• Export data from SNAP → StaMPS
• Run StaMPS PS-InSAR commands
• Visualize displacement time series

📘 Day-6: Post-Processing & Integration with GIS

Objective: Combine InSAR results with GIS for analysis and reporting.
Topics:

• Import deformation maps into QGIS
• Reprojection, masking, and spatial analysis
• Correlation with land use, slope, soil, and geology layers
• Accuracy assessment and validation with GPS data
  Practical:
• Overlay deformation with ancillary datasets
• Create deformation trend maps in QGIS
• Export final map layouts

📘 Day-7: Advanced Topics & Google Earth Engine Integration

Objective: Explore advanced automation and cloud-based analysis.
Topics:

• Introduction to SBAS-InSAR in GEE (experimental)
• Visualizing Sentinel-1 coherence and deformation in GEE
• Python integration with SNAP (snappy API)
• Case studies:
  • Land subsidence mapping
  • Earthquake deformation
  • Volcanic uplift monitoring
    Practical:
• Run deformation visualizations in GEE
• Export results to drive / integrate with report
• Discussion, Q&A, certification guidance

🎓 Deliverables

• Daily lecture recordings
• Sample Sentinel-1 datasets
• Hands-on exercises and practice material
• Final certificate of completion
• Free follow-up Q&A session