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September 18, 2025VIETNAM JOURNAL OF EARTH SCIENCES

Integrating remote sensing and artificial intelligence for landslide detection and susceptibility analysis along tourism routes in Da Bac district, Hoa Binh province, Vietnam

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Authors

KDKinh Bac DangTHThị Thu Hương HoàngHNHieu Nguyen

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Overview

Research integrates artificial intelligence for landslide detection and susceptibility analysis along tourism routes, suggesting effective early warning systems.

Key Points

  • The developed DeepLab-v3 model achieved 96.8% accuracy in landslide detection using satellite data.
  • Evaluation of landslide susceptibility employed machine learning tools like Random Forest and Support Vector Machine.
  • The study proposed an early warning system that utilizes ecological factors and historical data for disaster management.
  • This integrated system intends to enhance safety in tourism activities by reducing landslide impacts for local communities.

Cite This Study

Dang et al. (2025) studied this question.

synapsesocial.com/papers/68d463db31b076d99fa62c32https://doi.org/10.15625/2615-9783/23462
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  5. 5Integrating Remote Sensing, GIS and Machine Learning Approaches in Evaluation of Landslide Susceptibility in Mountainous Region of Nghe An Province, Vietnam2024