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3D Lightning Imaging
Development of a high-resolution lightning observation network to obtain the dataset for real-time 3D imaging.
The outputs of the sensors will be used to construct lightning 3D mapping utilizing signal processing and artificial intelligence (AI) techniques. A new algorithm will be proposed to map lightning channel progression in 3D and estimate the electrical charges inside thundercloud in real time manner. The accuracy of the mapping will be validated with the Rocket Triggered Lightning (RTL) experiment and current measurement.
Team Members

Assoc. Prof. Dr. Masrullizam bin Mat Ibrahim
UTeM

Assoc. Prof. Dr. Hidayat bin Zainuddin
UTeM

Gs. Ts. Dr. Safiza Suhana Binti Kamal Baharin
UTeM

Dr. Farhan Hanaffi
UTeM

Dr. Sani Irwan Md Salim
UTeM
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