Climate change Alpine flora Remote sensing Machine learning Biodiversity conservation Satellite imagery Species distribution

Climate change poses significant threats to alpine ecosystems, which are characterized by unique biodiversity and specialized plant species. This study introduces an innovative approach to monitor and predict the impact of climate change on alpine flora using remote sensing data combined with advanced machine learning techniques. By employing satellite imagery analysis and predictive modeling, we aim to assess changes in vegetation patterns and species distribution over time. Our findings reveal that certain alpine plants are moving to higher altitudes, while some are facing extinction risks. The integration of remote sensing with machine learning offers a robust framework for conservation strategies and policy-making to protect these vulnerable ecosystems.

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