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Case study

Paddy Crop Phenology Mapping with InSAR

Comparative crop-stage classification from InSAR descriptors

GIS & Remote SensingJul–Nov 2025Sathish

The problem

Reliable crop phenology mapping needs descriptors that can support all-weather monitoring across growth stages.

Our approach

We applied Sentinel-1 InSAR and PS(0–99) parameters including DPSVI, HP, and HC to estimate crop height and compare classification techniques.

  1. Prepare Sentinel-1 InSAR observations.
  2. Apply PS(0–99) descriptors.
  3. Estimate crop height and classify growth stages.
  4. Compare the two techniques for reliable monitoring.

Technology

Sentinel-1 InSARDPSVIHPHC

Results

  • Comparative analysis of InSAR and polarimetric descriptors for crop phenology mapping.

What this means for your project

This fits research and academic technology solutions where remote-sensing analysis needs a reproducible analytical workflow. Explore the matching service

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