The automatic storm recognition, the track, and the early warning use the FY-2 satellite data

Yuling Liu; Sen Li; Jianwen Liu; Zhuhua Zhou

doi:10.1117/12.868296

28 October 2010 The automatic storm recognition, the track, and the early warning use the FY-2 satellite data

Yuling Liu, Sen Li, Jianwen Liu, Zhuhua Zhou

Proceedings Volume 7859, Remote Sensing of the Atmosphere and Clouds III; 78590G (2010) https://doi.org/10.1117/12.868296
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

Abstract

Based on the data from FY-2 meteorological satellite, this study investigates the potential of the satellite deep convection index and infrared multi-spectrum brightness temperature in identifying thunderstorm systems. To track the thunderstorm, we adopt the area overlap algorithm improved through the optical flow method. Based on these algorithms and continuous automatic tracking results, we seek to predict the location of thunderstorms by using linear extrapolation. It is proved that the combined usage of those algorithms is effective for thunderstorm identification, tracking and early-warning.

Citation Download Citation

Yuling Liu, Sen Li, Jianwen Liu, and Zhuhua Zhou "The automatic storm recognition, the track, and the early warning use the FY-2 satellite data", Proc. SPIE 7859, Remote Sensing of the Atmosphere and Clouds III, 78590G (28 October 2010); https://doi.org/10.1117/12.868296

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