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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

Yun Wei, Zhengwei He (), Wenqian Bai, Zhiyu Hu, Xin Zhou, Zhilan Zhou, Chao Zhang and Aimin Huang
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Yun Wei: State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, 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
Wenqian Bai: State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, 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
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

Sustainability, 2025, vol. 17, issue 20, 1-17

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.

Keywords: forest fires; Web-GIS; three-dimensional visualization; forest decision support system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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