1195 / 2024-09-20 15:38:02
Digital Twins of coral reefs: observation, data collection, and visualization
Digital twins,Coral reefs,Image analyses,Oceanic observation
摘要录用
Xian QIN / City University of Hong Kong
Lai CHAN / City University of Hong Kong
Kam Pui NG / City University of Hong Kong
Zhongming LU / City University of Hong Kong
Jiajun WU / City University of Hong Kong
According to the National Aeronautics and Space Administration (NASA) of the United States, a digital twin is a virtual representation of mimicking the entire lifecycle of its corresponding physical entity by integrating physical models, sensors, historical operational data, and additional relevant information. Coral reefs, renowned as one of the most biodiverse ecosystems on the planet, stand as an ideal and important scene for the advancement of digital twin technology within oceanic realms. Despite the utilization of remote sensing techniques, including satellite and hyperspectral systems, which offer insights into the information of morphology, depth, and temperature of coral reefs, the comprehensive data acquisition essential for coral ecosystems – encompassing details like fish and coral species, substrates, and information on coral bleaching and damage – remains heavily rely on conventional method - transect-based observation. Our research initiative commenced with traditional methodologies for establishing foundational data. The endeavor to develop a digital twin for coral reefs involved (1) the creation of physical models representing corals and associated components of the marine environment, (2) the application of digital image processing for coral identification, and (3) involving basic environmental parameters in the digital twin platform for coral reefs. Our study gives an example of the digital twin in typical oceanic habitats, which will be beneficial for related oceanic areas, such as coastal region monitoring and the estimation of blue carbon sequestration.

 
重要日期
  • 会议日期

    01月14日

    2025

    01月17日

    2025

  • 09月27日 2024

    初稿截稿日期

  • 12月14日 2024

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
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