Rivers contain natural hotspots — sections where overflow is more likely during intense rainfall. When these areas sit near urban zones, farmland, or critical infrastructure, poor riverbed maintenance becomes both a social and economic risk.
Effective riverbed management focuses on maintaining water flow capacity and reducing flood risk before extreme weather events occur. Vegetation growth within the stable river channel can obstruct water circulation, increasing the likelihood and severity of flooding.
With this study, we aimed at addressing the following key questions:
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Where should maintenance be prioritised?
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How has vegetation evolved compared to last year?
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If the river overflows, where would impact be greatest?

By monitoring riverbeds throughout the year, authorities can prioritise interventions, optimise resources, and protect the most vulnerable areas before damage occurs.

Riverbed Vegetation Mapping
Our segmentation algorithms detect vegetation encroachment within the stable river channel. Using both medium-resolution and high-resolution satellite imagery, we identify hotspots where vegetation growth may restrict flow capacity.
Medium-resolution data enables broad hotspot detection across large areas.
High-resolution imagery refines the analysis, allowing precise segmentation of vegetation within the riverbed.

MR EO imageWater / Vegetation discrimination
Identification of vulnerable areas within the riverbed by using HR data

HR EO image / Riverbed vegetation Segmentation
Surrounding Asset Mapping
After identifying critical river sections, we analyse surrounding assets — including roads, agricultural areas, and infrastructure — to assess potential exposure and impact in the event of overflow.
This combined analysis links environmental condition to operational risk.


Key Figures
Smart inspection
We schedule inspections based on detected vulnerabilities and year-on-year condition changes, focusing resources where they are most needed.
Cost-saving up to 50%
Targeted inspections reduce maintenance-related costs by 30–50% compared to routine blanket approaches.