Grainews: Catching a landscape before it crashes

Modelling how landscapes respond to, and recover from, stress could one day help farmers spot when fields are nearing a tipping point.

A University of Manitoba soil scientist is using AI and satellite data to explore how Prairie landscapes respond to long-term stress — and how they bounce back.

At a recent presentation, Nasem Badreldin, who teaches digital agronomy at the U of M, explained how his team is using simulations to study landscape resilience. The model they built uses 25 years of daily satellite data to show how vegetation and soil systems shift under pressures such as drought, erosion or the loss of organic matter.

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