A dam breach in the Akmola region of Kazakhstan was publicly reported in April 2026, affecting the Korgalzhyn district near the village of Sabyndy and raising interest in flood extent, affected areas, and downstream impact assessment. This topic is shared as a starting point for community awareness, EO data discovery, and workflow preparation.
For public context, users can refer to the Disaster Charter activation page and the Sentinel Asia event page. The Astana Times article on glacier melt, flood risk and water shortages may also be useful as broader contextual reading, rather than as a direct event product source.
Image: Public EO product for the Kazakhstan flood. Source: Sentinel Asia / Mohammed Bin Rashid Space Centre public product page.Credit: Mohammed Bin Rashid Space Centre.
The Disaster Charter public event page also provides reference products that may be useful for comparison. These are external reference examples:
Image: Potential flood-affected areas in Kazakhstan, 17 April 2026. Source: Disaster Charter public event page. Licence: source/licence should be verified before publication. Credit: Disaster Charter public event page (Product shown as a public reference example, not as a GEP output) Image: Flood situation map, 17 April 2026. Source: Disaster Charter public event page. Licence: source/licence should be verified before publication. Credit: Disaster Charter public event page (Product shown as a public reference example, not as a GEP output) Image: Flood situation map in Kazakhstan, 18 April 2026. Source: Disaster Charter public event page. Licence: source/licence should be verified before publication. Credit: Disaster Charter public event page (Product shown as a public reference example, not as a GEP output)
For EO data discovery, Sentinel-1 acquisitions are a useful starting point for flood-related change analysis, especially where cloud cover may limit optical observations. Sentinel-2 imagery can support visual interpretation and spectral-index analysis where clear scenes are available. Stacking and comparing multi-temporal products can also help prepare an initial screening of affected areas and downstream changes.
Data discovery on GEP
The metadata identifies Sentinel-1 as the suggested dataset for this event. No prepared GEP Geobrowser search URL is currently provided, so the operator may want to review the focus area first, using the Akmola region / Korgalzhyn district near Sabyndy, Kazakhstan as the suggested starting point. The operator may also add a GEP Geobrowser screenshot as the default topic image, showing relevant Sentinel acquisitions or footprints over the affected area and around the event date.
Relevant GEP services
These services may be useful starting points for preparing EO workflows around this event. This does not imply that they have already been run for the event.
- SAR-Change — SAR Amplitude Change — SAR amplitude change analysis between acquisitions, useful for event-driven change screening where SAR data are available.
- SAR-COIN — Coherence and Intensity Composite — coherence and intensity composites to help highlight surface change or loss of coherence between SAR acquisitions.
- OPT-Index — Optical Spectral Index Generation — optical indices such as NDVI, NDWI, and NBR for surface, vegetation, water, and burn-related analysis.
- STACK — Co-located Stacking — co-location and stacking of multiple EO products for comparative multi-temporal or multi-sensor analysis.
A practical first step would be to define the area of interest around Sabyndy and the Korgalzhyn district, review Sentinel-1 acquisitions before and after 13 April 2026, and compare suitable image pairs for flood-related change. Where cloud-free Sentinel-2 scenes are available, optical indices can be added to support interpretation. The public reference products above can be used only as external examples for comparison.
This topic is not an official emergency response communication and does not imply that GEP produced the public reference products or is providing operational emergency response support.