SUI Haigang, LIU Chaoxian, LIU Junyi, ZHENG Xiaocui, LI Haifeng, YU Shuhai, LI Qiyu. Reflection and Exploration of Rapid Remote Sensing Emergency Response for Typical Natural Disasters[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1137-1145. DOI: 10.13203/j.whugis20200065
Citation: SUI Haigang, LIU Chaoxian, LIU Junyi, ZHENG Xiaocui, LI Haifeng, YU Shuhai, LI Qiyu. Reflection and Exploration of Rapid Remote Sensing Emergency Response for Typical Natural Disasters[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1137-1145. DOI: 10.13203/j.whugis20200065

Reflection and Exploration of Rapid Remote Sensing Emergency Response for Typical Natural Disasters

Funds: 

The National Natural Science Foundation of China 41771457

the National Key Research and Development Program of China 2016YFB0502600

More Information
  • Author Bio:

    SUI Haigang, PhD, professor, specializes in RS, GIS and disaster emergency response.haigang_sui@263.net

  • Corresponding author:

    LIU Chaoxian, PhD.cx_leo@whu.edu.cn

  • Received Date: March 19, 2020
  • Published Date: August 04, 2020
  •   Objectives  Rapidly developing remote sensing technology provides powerful technical support for natural disaster emergency response. However, deep coupling between remote sensing technology and emergency response is lacking. Considering disaster emergency response involves the joint cooperation of multiple resources and systems, the rapid emergency response based on remote sensing technology require systematically studied.
      Methods   Faced with the great demand of emergency response of disaster remote sensing, we conduct the research on the intelligent, dynamic and fast emergency service of emergency response. In view of the challenge for rapid emergency response of remote sensing, some key technique involved in rapid emergency response of disaster remote sensing are especially discussed, including making the emergency preplan, constructing collaborative emergency service framework of remote sensing, allocation of emergency monitoring resources, remote sensing cooperative of air-space-ground resources, the design optimization for emergency processing mode and the quick intellectual processing for remote sensing emergency.
      Results   Based on above methods and technologies, we conducted the field application of security system for disaster emergency service, on-board video intelligent processing, real-time processing of on-board disaster emergency information, and rapid processing of ground emergency information.
      Conclusions   Rapid emergency response for typical natural disasters requires more in-depth research based on remote sensing technologies. Only by achieving universal-coverage and integrated study ranging from emergency service system to concrete algorithm optimization, the timeliness of disaster emergency can be ensured.
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