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GeoLands presents a machine learning-based approach to assess landslide risks using high-resolution satellite imagery. By analyzing various geological and environmental features, the system predicts potential landslide-prone zones, supporting timely risk mitigation. Leveraging advanced image processing and predictive modeling techniques, GeoLands offers an efficient and scalable solution for enhancing landslide risk assessment, particularly in vulnerable and remote areas.

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GeoLands: Machine Learning-Powered Landslide Risk Assessment

  • 会议论文

  • 发表日期：

    2025年

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  • K. C. Prabu Shankar,
  • Jaya Bhat,
  • Harshith R. Harekar

摘要

GeoLands presents a machine learning-based approach to assess landslide risks using high-resolution satellite imagery. By analyzing various geological and environmental features, the system predicts potential landslide-prone zones, supporting timely risk mitigation. Leveraging advanced image processing and predictive modeling techniques, GeoLands offers an efficient and scalable solution for enhancing landslide risk assessment, particularly in vulnerable and remote areas.