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Mapping Landslides with AI: A New Approach to Hazard Prediction

10.11.2025 by qfx

Landslide mapping has evolved from expert-driven analysis to geospatial foundation models—leveraging self-supervised learning and fine-tuning—offering scalable, adaptable, and data-efficient solutions poised to disrupt the reinforcing cycle of climate-driven landslides and escalating community vulnerability through proactive risk management and transferable knowledge.

Geospatial foundation models demonstrate superior performance in landslide mapping, even with limited data and across diverse terrains.

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