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@Radarfill

Radarfill

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RadarFill

Seeing crops through the clouds. Radar fills cloud gaps in satellite greenness curves, using past data only, so crops can be recognised weeks earlier, with confidence you can trust.

Final-year research project, Faculty of Information Technology, University of Moratuwa (2026–2027).

Track Focus
A Past-only radar-guided gap filling with calibrated uncertainty
B Early crop recognition: fill vs fuse, earliest reliable date
C Gap-aware trust: calibration and conformal prediction sets

Main repository: radarfill/radarfill

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  1. radarfill radarfill Public

    Early-season crop recognition under cloud cover: radar-guided gap filling of Sentinel-2 time series (past data only)

    Python

  2. .github .github Public

    Radarfill organization profile

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