Abstract
Since 2007, the Yellow Sea green tide has broken out every summer, causing great harm to the environment and society. Although satellite remote sensing (RS) has been used in biomass research, there are several shortcomings, such as mixed pixels, atmospheric interference, and difficult field validation. The biomass of green tide has been lacking a high-precision estimation method. In this study, high-resolution unmanned aerial vehicle (UAV) RS was used to quantitatively map the biomass of green tides. By utilizing experimental data from previous studies, a robust relationship was established to link biomass to the red-green-blue floating algae index (RGB-FAI). Then, the lab-based model for green tide biomass from visible images taken by the UAV camera was developed and validated by field measurements. Results show that the accurate and cost-effective method is able to estimate the green tide biomass and its changes in given local waters of the near and far seas. The study provided an effective complement to the traditional satellite RS, as well as high-precision quantitative techniques for decision-making in disaster management.
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6 Data Availability Statement
The datasets generated and/or analyzed during this study are available from the corresponding author on reasonable request.
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Supported by the Fundamental Research Projects of Science & Technology Innovation and Development Plan in Yantai City (No. 2022JCYJ041), the Natural Science Foundation of Shandong Province, China (Nos. ZR2022MD042, ZR2022MD028), the Seed Project of Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (No. YICE351030601), and the NSFC Fund Project (No. 42206240)
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Jiang, X., Gao, Z. & Wang, Z. Estimation and verification of green tide biomass based on UAV remote sensing. J. Ocean. Limnol. (2024). https://doi.org/10.1007/s00343-023-3113-6
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DOI: https://doi.org/10.1007/s00343-023-3113-6