欢迎访问林草资源研究
Technical Application

Discussion on Sky-land Integrated Forest Fire Prevention Monitoring System

  • Xiaofeng XU ,
  • Haolin ZHANG ,
  • Zhichao SUN
Expand
  • 1. Space Star Technology Co.,Ltd,Beijing 100086
    2. Tianjin Zhongwei Aerospace Data System Technology Co.,Ltd,Tianjin 300301
    3. Academy of Forest and Grassland Inventory and Planning,National Forestry and Grassland Administration,Beijing 10074,China

Received date: 2019-06-12

  Revised date: 2019-07-31

  Online published: 2020-09-18

Abstract

In view of the current situation of forest fire prevention in China,this paper analyses the technical requirements of forest fire prevention supervision,and puts forward the integration of satellite remote sensing,aerial remote sensing,satellite communication and large data to build an sky-land integrated forest fire prevention monitoring system.Through the design of remote sensing monitoring subsystem,communication transmission subsystem and situation command subsystem,to solve the problems existing in forest fire prevention,such as inadequate acquisition and processing ability of multi-source observation data,poor real-time data transmission ability,inadequate on-site situation control and situation release ability.and comprehensively improve the capability of forest fire early warning,real-time situation monitoring,fire situation analysis and post-disaster assessment in China.And also,the capability of forest fire early warning,real-time fire situation monitoring,fire situation analysis and post-disaster assessment will be improved in an all-round way.

Cite this article

Xiaofeng XU , Haolin ZHANG , Zhichao SUN . Discussion on Sky-land Integrated Forest Fire Prevention Monitoring System[J]. Forest and Grassland Resources Research, 2019 , 0(5) : 121 -129 . DOI: 10.13466/j.cnki.lyzygl.2019.05.019

References

[1] 中国森林资源[EB/OL].中国林业网,(2014-02-25)[2019-05-25]. http://www.forestry.gov.cn/main/65/content-659670.html.
[2] 覃先林, 陈小中, 钟祥清, 等. 我国森林火灾预警监测技术体系发展思考[J]. 林业资源管理, 2015(6):45-48.
[3] Yuan Chi, Liu Zhixiang, Zhang Youmin. UAV-based forest fire detection and tracking using image processing techniques[C]// International Conference on Unmanned Aircraft Systems.IEEE, 2015: 639-643.
[4] 董晓锐. 基于FY3遥感影像的森林火灾监测系统的研究[D]. 哈尔滨:哈尔滨工程大学, 2018: 4-6.
[5] 国家林业局. 林业科学和技术中长期发展规划(2006—2020年)[M]. 北京: 中国林业出版社, 2006: 8-9.
[6] 国家林业局. 全国森林防火规划(2016—2025年)[M]. 北京: 中国林业出版社, 2014: 23-29.
[7] 狄丽颖, 孙仁义. 中国森林火灾研究综述[J]. 灾害学, 2007,22(4):118-124.
[8] Capitan J, Mantecon D, Soriano P, et al. Autonomous perception techniques for urban and industrial fire scenarios[C]// IEEE International Workshop on Safety,Security and Rescue Robotics.IEEE, 2007: 1-6.
[9] 吴龙标, 方俊, 谢启源. 火灾探测与信息处理[M]. 北京: 化学工业出版社, 2006: 160-168.
[10] Chakraborty I, Paul T K. A Hybrid Clustering Algorithm for Fire Detection in Video and Analysis with Color Based Thresholding Method[M]. J Rheumatol, 2010: 275-285.
[11] 余荣华. 森林火灾图像自动识别系统的研究与实现[D]. 南昌:南昌大学, 2008: 24-28.
Outlines

/