Academic Journal of Environment & Earth Science, 2025, 7(2); doi: 10.25236/AJEE.2025.070205.
Shan Zhang1, Chenglong Yang2, Chen Zhang2, Dapeng Huang2, Yubai Zhang3
1Yantai Marine Environmental Monitoring and Forecasting, Yantai, Shandong, 264000, China
2Qingdao Brilliora Marine Technology Co., Ltd., Qingdao, Shandong, 266000, China
3Shandong Marine Forecast and Hazard Mitigation Service, Qingdao, Shandong, 266000, China
With the continuous advancement of marine scientific research and the increasing exploitation of ocean resources, the acquisition of marine data has become increasingly diverse, encompassing a wide range of sources and types. Marine data now originates from multiple sensors, such as satellite remote sensing, buoys, and research vessels, and spans various fields including meteorology, oceanography, and biology. The challenge of effectively integrating these vast and heterogeneous multi-source data, and utilizing intelligent analysis techniques to extract valuable information, has become one of the major obstacles in current marine research. This paper delves into the theoretical methods and technological frameworks of multi-source ocean data fusion, with a particular focus on the application of intelligent analysis techniques in marine data, especially in the areas of marine resource management, climate change prediction, and ecological environment monitoring. Through the synergistic integration of different data sources and intelligent analysis technologies, more accurate and efficient marine environmental assessments and forecasts can be achieved, promoting the deep integration of marine scientific research and practical applications.
Multi-Source Data; Ocean Data Fusion; Intelligent Analysis; Data Mining
Shan Zhang, Chenglong Yang, Chen Zhang, Dapeng Huang, Yubai Zhang. Research on Multi-Source Ocean Data Fusion and Intelligent Analysis Technology. Academic Journal of Environment & Earth Science(2025), Vol. 7, Issue 2: 47-51. https://doi.org/10.25236/AJEE.2025.070205.
[1] Zhou S, Liu X, Li Z, et al. Multilayer perceptron inversion of the South China Sea seafloor topography using fused multi-source marine geodetic data. Chinese Journal of Geophysics, 2024, 67(004).
[2] Xu G, Yang J, Xu Y, et al. Application of "Ocean No. 2" significant wave height data in the fusion of multi-source satellite altimeter data. Acta Oceanologica Sinica, 2013, 35(4), 208-213.
[3] Hu T, Zhao D, Zeng Y, et al. Multi-source data fusion system for ecosystem assessment. Acta Ecologica Sinica, 2023, 43(2), 542-553.
[4] Ruan X, Zhan Z, Yan Z, et al. Fusion of digital water depth models for the coastal waters of China based on global bathymetric data. Acta Oceanologica Sinica, 2024, 46(7), 16-28.
[5] Hao B, Li Q, Zhu Q. Research on water conservancy digital earth using multi-source heterogeneous data fusion. Hydraulic Technology Supervision, 2024, 003(000).