A FoundationAI impact story

Pakistan 2022 Floods: Before and After in Geospatial Imagery

EarthGPT application showing Pakistan post-2022 flood analysis with MNDWI water index map and assistant panel
EarthGPT — post-flood analysis in the app (full view; carousel uses compact thumbnails)

Pre- and post-flood — EarthGPT demo thumbnails

EarthGPT demo thumbnail: Pakistan region before 2022 monsoon floods

Pre-flood

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The 2022 Pakistan monsoon floods were among the most severe climate-driven disasters in recent history, affecting tens of millions of people across Sindh, Balochistan, Khyber Pakhtunkhwa, and Punjab. Rapid, trustworthy maps of where water expanded mattered for rescue routing, relief distribution, and damage assessment.

This use case highlights how FoundationAI approaches extreme flood events with Earth observation and Geospatial AI: pairing pre-event baseline imagery with post-event views so analysts can communicate change at a glance instead of hunting through disconnected tiles.

The side-by-side imagery (pre- and post-flood) is representative of workflows we build with tools such as EarthGPT—natural-language and model-assisted interpretation over satellite or derived layers—so technical and non-technical stakeholders share the same mental model of impact extent.

Beyond a single disaster, the same pattern scales to seasonal flood monitoring, levee and infrastructure exposure, and post-event reconstruction prioritization when repeat passes and multi-sensor fusion are available.

If your agency or program needs comparable flood intelligence pipelines for South Asia or elsewhere, we can help design ingestion, change visualization, and delivery that match your operational tempo.