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Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges

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  • Peng Ye

    (Urban Planning and Development Institute, Yangzhou University, Yangzhou 225127, China
    College of Architectural Science and Engineering, Yangzhou University, Yangzhou 225127, China)

Abstract

Meteorological disaster monitoring is an important research direction in remote sensing technology in the field of meteorology, which can serve many meteorological disaster management tasks. The key issues in the remote sensing monitoring of meteorological disasters are monitoring task arrangement and organization, meteorological disaster information extraction, and multi-temporal disaster information change detection. To accurately represent the monitoring tasks, it is necessary to determine the timescale, perform sensor planning, and construct a representation model to monitor information. On this basis, the meteorological disaster information is extracted by remote sensing data-processing approaches. Furthermore, the multi-temporal meteorological disaster information is compared to detect the evolution of meteorological disasters. Due to the highly dynamic nature of meteorological disasters, the process characteristics of meteorological disasters monitoring have attracted more attention. Although many remote sensing approaches were successfully used for meteorological disaster monitoring, there are still gaps in process monitoring. In future, research on sensor planning, information representation models, multi-source data fusion, etc., will provide an important basis and direction to promote meteorological disaster process monitoring. The process monitoring strategy will further promote the discovery of correlations and impact mechanisms in the evolution of meteorological disasters.

Suggested Citation

  • Peng Ye, 2022. "Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges," IJERPH, MDPI, vol. 19(6), pages 1-28, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3701-:d:775443
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    References listed on IDEAS

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