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Designing and Implementing a Web-GIS 3D Visualization-Based Decision Support System for Forest Fire Prevention: A Case Study of Yanyuan County

Author

Listed:
  • Yun Wei

    (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
    College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China)

  • Zhengwei He

    (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
    College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China)

  • Wenqian Bai

    (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
    College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China)

  • Zhiyu Hu

    (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
    College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China)

  • Xin Zhou

    (Sichuan Zhongke Chuanxin Technology Co., Ltd., Chengdu 610041, China)

  • Zhilan Zhou

    (Sichuan Zhongke Chuanxin Technology Co., Ltd., Chengdu 610041, China)

  • Chao Zhang

    (Sichuan Zhongke Chuanxin Technology Co., Ltd., Chengdu 610041, China)

  • Aimin Huang

    (Sichuan Zhongke Chuanxin Technology Co., Ltd., Chengdu 610041, China)

Abstract

Forest fires in Yanyuan County, a typical dry-hot valley region, pose serious threats to ecological security and public safety. Conventional fire warning methods rely heavily on manual surveys, making them time-consuming, labor-intensive, and prone to missing the critical window for effective intervention. This paper presents a 3D visualization decision support system for fire prevention, developed on a Web-GIS platform using the Cesium engine. The system integrates multi-source data, including a 12.5 m DEM, remote sensing imagery, and real-time video streams. It employs a YOLO11 model for automated fire and smoke detection, achieving a precision of 82.4%. Compared to conventional 2D systems, the platform enhances emergency response speed by 37% while significantly improving spatial awareness and operational coordination. This cross-platform tool facilitates sustainable forest management through efficient resource allocation and real-time monitoring, offering a scalable and practical solution for fire prevention in complex terrains.

Suggested Citation

  • Yun Wei & Zhengwei He & Wenqian Bai & Zhiyu Hu & Xin Zhou & Zhilan Zhou & Chao Zhang & Aimin Huang, 2025. "Designing and Implementing a Web-GIS 3D Visualization-Based Decision Support System for Forest Fire Prevention: A Case Study of Yanyuan County," Sustainability, MDPI, vol. 17(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9326-:d:1775899
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    References listed on IDEAS

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    1. Muhammad Daud & Francesca Maria Ugliotti & Anna Osello, 2024. "Comprehensive Analysis of the Use of Web-GIS for Natural Hazard Management: A Systematic Review," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
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