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Detection of convective cells using multi-channel satellite data from FY-2

  • role： First author第一作者
  • Affiliation：

    School of Information Technology, Shangqiu Normal University, Shangqiu 476000, China

    Zhengzhou Information Science and Technology Institute, State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450000, China

  • Email：sqsylj@126.com
  • Introduction：刘佳，1985年生，男，博士，研究方向为遥感数据处理和模式识别。E-mail: sqsylj@126.com
LIU Jia12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Zhengzhou Information Science and Technology Institute, State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450000, China

  • Email：luoxy_ieu@sina.com
  • Introduction：罗向阳，1978年生，男，教授，研究方向为网络与信息安全。E-mail: luoxy_ieu@sina.com
LUO Xiangyang2*

Resümee

Mesoscale Convective System (MCS) is the main reason of formation strong convective weather. Therefore, it is quite necessary for us to study the evolution and characteristic of MCS. Adjacent convective cells cannot be well distinguished is the main problem in convective cell detection. To address this issue, a new method is proposed based on H-maxima transform using infrared and water vapor channel data from FY-2F meteorological satellite.Firstly, Pixels with bright temperature greater than 241K (Baseline threshold of convection system) were removed and normalized to [0, 1]. Secondly, H-maxima transform technology was used to extract seed points of convective cells, and a new criterion for connected domain was designed to cluster adjacent seed points and mark them in order. Finally, a new merging method was developed to make the seed points grow or merge with adjacent seed points.Experimental results on satellite images from infrared channel and water vapor channel show that the proposed HTC method efficient and accurate, including initial, mature and dissipation stages of Mesoscale Convective Systems lifecycle. This study showed that the proposed method has a considerable application prospect for detecting convective cells in the field of meteorology. In addition, the proposed method is not only suitable for detecting single convective cells, but also capable of multiple convective cells detection.

Schlüsselwort

remote sensing;convective cell;convective core;H-maxima transform;clustering;FY-2;seed point

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