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Landslide Dynamic Monitoring System Based on Unmanned Aerial Vehicle Oblique Photogrammetry and 3D Modeling Technology

Author

Listed:
  • Nianhong Wang

    (Yangzhou Polytechnic University, China)

  • Jun Zhang

    (Research Industry Department, Yangzhou Polytechnic University, China)

  • Meijun Wang

    (Jiangsu Engineering Survey and Research Institute Co., Ltd., China)

Abstract

Landslides occur frequently in the hilly areas of southwestern mountainous regions in China, posing a serious threat to the safety of residents along the route. Traditional landslide monitoring techniques, although providing certain data, have limitations in accuracy, timeliness, and adaptability. Ground monitoring requires a lot of manual intervention and is greatly limited by terrain, making it difficult to achieve all-weather monitoring. As an emerging tool for geological hazard monitoring, drone oblique photogrammetry technology has gradually become an effective solution to overcome these shortcomings. By combining 3D modeling technology, these images can be quickly processed to create accurate 3D terrain models. By 3D modeling and dynamic monitoring of landslide areas, real-time information about landslide changes can be obtained, enabling the prediction of landslide occurrence and evolution trends. This research aims to establish a technology system that can dynamically monitor landslides, thereby improving the accuracy and timeliness of landslide disaster warning.

Suggested Citation

  • Nianhong Wang & Jun Zhang & Meijun Wang, 2025. "Landslide Dynamic Monitoring System Based on Unmanned Aerial Vehicle Oblique Photogrammetry and 3D Modeling Technology," International Journal of Information System Modeling and Design (IJISMD), IGI Global Scientific Publishing, vol. 16(1), pages 1-19, January.
  • Handle: RePEc:igg:jismd0:v:16:y:2025:i:1:p:1-19
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