Flood Early Warning Pipeline
Custom pipeline development
End-to-end Sentinel-1 SAR flood detection pipeline with community-level alert outputs.
We build a bespoke flood intelligence system for your area of interest, replicating the approach developed for Ghana's Odaw River Basin. The pipeline: searches and downloads the latest Sentinel-1 GRD acquisition within hours of a rain event, applies the full 9-step SAR preprocessing chain, runs dual-threshold flood detection, overlays community boundaries and population data, and outputs FloodWatch-compatible GeoJSON alerts ready for consumption by your early warning dashboard or SMS gateway.
Deliverables include: Python pipeline code, Docker container, YAML configuration, scheduled cron job, 3-month historical flood frequency composite for your AOI, and a one-day training session for your team.
Typical turnaround: 6–8 weeks. Suitable for: NDMO, EPA, municipal disaster risk management offices, Red Cross national societies, UN-HABITAT urban programmes.
What's included
Data acquisition
Imagery sourced from 22+ providers, matched to your area and time window.
AI analysis
Segmentation, detection or change analysis through our pygeovision pipelines.
Clear deliverables
Maps, GeoJSON layers and reports you can use directly or hand to stakeholders.
Full transparency
Auditable, reproducible workflows — every result traces back to its source scene.
How delivery works
Scope
We agree objectives & AOI.
Build
We develop the pipeline.
Review
You validate the results.
Deliver
Final outputs & handover.
One-off project, quoted precisely to your scope.
- Built on open-source tooling
- No proprietary lock-in
- Reproducible & auditable