Orbit Correction
Refines acquisition geometry using precise/restituted orbit information.
DInSAR / InSAR Advanced
Run a selected advanced DInSAR/InSAR processing stage. This is intended for analysts who need control over individual interferometric processing steps and intermediate products.
SAR / InSAREnd-User DocumentationTheory + Formula + Parameters1. What This Feature Does
Run a selected advanced DInSAR/InSAR processing stage. This is intended for analysts who need control over individual interferometric processing steps and intermediate products.
Cloud workflow: choose data → configure the scientific method → run → review the resulting layer/report. No programming is required.
2. Recommended Workflow
Choose SLC inputs and polarization.
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Select the processing stage.
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Choose Fast, Balanced, or High Quality.
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Optionally save intermediate products.
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Inspect quality before moving to the next stage.
3. Theory, Methods & Equations
TOPS Split
Subsets the desired subswath/burst region for TOPS-mode data.
Coregistration
Aligns master and slave complex images to sub-pixel accuracy so corresponding scatterers overlap.
Enhanced Spectral Diversity
Uses burst-overlap spectral information to refine azimuth co-registration in TOPS interferometry.
Interferogram
Forms the phase difference between co-registered complex SAR images.
φint=arg(S1S2*)
Coherence
Measures local complex correlation and is a key indicator of interferometric reliability.
γ=|ΣS1S2*|/√(Σ|S1|²Σ|S2|²)
TOPS Deburst
Merges TOPS bursts into a continuous subswath representation.
Topographic Phase Removal
Removes phase predicted from a DEM and imaging geometry to isolate residual deformation/atmosphere/noise.
Phase Filtering
Suppresses phase noise while trying to preserve fringes.
Phase Unwrapping
Converts wrapped phase modulo 2π into a continuous phase field.
φunwrapped=φwrapped+2πk
Phase to Displacement
Converts unwrapped phase to line-of-sight displacement.
dLOS=λφunwrapped/(4π)
Terrain Correction
Geocodes the radar result to a map coordinate system using terrain geometry.
4. Input Data
| Input | Type | Requirement | Description |
|---|---|---|---|
| Reference SLC | raster | Required | |
| Secondary SLC | raster | Required | |
| DEM (Optional) | raster | Conditional / Optional |
5. Parameters Available in the Application
| Parameter | Default | Choices / Range | How to Use It |
|---|---|---|---|
| Polarization | — | — | Loaded from the SLC package metadata. |
| Processing Quality | balanced | Fast, Balanced, High Quality | |
| Save Intermediate Products | Off | — |
6. Output & Interpretation
The result should be interpreted according to the selected method and the physical meaning of the input data. Preserve source units, coordinate reference information, NoData meaning, acquisition date, and preprocessing level when comparing results.
Scientific interpretation: an algorithm can produce a numerically valid result even when the input data are unsuitable. Always check masks, units, sensor characteristics, spatial resolution and reference data.
Important: Advanced InSAR processing is sequential. A mathematically successful later stage does not guarantee scientific validity if co-registration, coherence, topographic correction, or unwrapping quality is poor.
7. Best Practices
- Use analysis-ready inputs and remove invalid/cloud/noise artifacts that are not part of the target phenomenon.
- Choose parameters from the physical scale of the data, not only from visual appearance.
- Keep categorical and continuous rasters conceptually separate when selecting interpolation/resampling methods.
- Compare the result with the source image and independent reference information.
- Document the settings used when results will be compared across dates, sensors or study areas.