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Li Qiang,Tang Junwu,Ge Huaxin, et al. Summary of sharing platforms for ocean color remote sensing in situ measurement data[J]. Haiyang Xuebao,2025, 47(2):1–23 doi: 10.12284/hyxb2024005
Citation: Li Qiang,Tang Junwu,Ge Huaxin, et al. Summary of sharing platforms for ocean color remote sensing in situ measurement data[J]. Haiyang Xuebao,2025, 47(2):1–23 doi: 10.12284/hyxb2024005

Summary of sharing platforms for ocean color remote sensing in situ measurement data

doi: 10.12284/hyxb2024005
  • Received Date: 2024-07-11
  • Rev Recd Date: 2024-12-10
  • Available Online: 2024-12-27
  • High-quality in situ measurement data is a prerequisite for the validation of ocean color remote sensing data products, algorithm development, and climate change research. The in situ measurement data were mainly collected through methods such as ship-based measurements, mooring platforms (buoys), and Argo profiling floats. However, these processes typically require a substantial investment of manpower, resources, and finances, and data collected by individual research teams often struggle to support long-term and large-scale studies. Driven by the advances in "big data" science, several open-access data platforms, intergovernmental and national marine science data centers, as well as database platforms of major marine-related departments, have released diverse types of marine in situ measurement data, making them accessible freely to users. It is difficult for data users to quickly understand and apply shared data from these platforms, because of the discrete distribution of datasets on different platforms, and differences in data collection time, regions, disciplinary categories, and acquisition methods. This results in a time-consuming and labor-intensive process of gathering relevant research data. 29 database platforms were compiled and organized, including the open-access data platforms, marine science data centers, and marine science long-time series observation stations, that can be used or have potential use value in ocean color remote sensing studies and provided examples of typical applications of the shared data within these platforms for various studies. The applications mainly include the alternative calibration and validation of satellite products, the development and improvement of remote sensing retrieval models for biogeochemical parameters, and research on the optical properties of seas. In terms of data sources, the shared data primarily originate from developed countries such as Europe and the United States. Temporally and spatially, the collection time of shared data spans a century, with the majority collected in the past 30 years and distributed mainly in the open oceans and coastal waters of countries such as the United States and Australia. Regarding data types, there are richness in ocean optical and biogeochemical parameters, but insufficient synchronous collection of both data, which may hamper the study of the optical characteristics of biogeochemical parameters.
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