Remote Sensing (Jul 2023)

The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China

  • Wei Tian,
  • Juan Wang,
  • Fengli Zhang,
  • Xudong Liu,
  • Jian Yang,
  • Junna Yuan,
  • Xiaofei Mi,
  • Yun Shao

DOI
https://doi.org/10.3390/rs15143625
Journal volume & issue
Vol. 15, no. 14
p. 3625

Abstract

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The world’s largest macroalgae bloom (also known as green tide) has been reported since the 29th Olympic Games in 2008, which is verified as the fast reproduction of floating green macroalgae (Ulva prolifera). It is helpful to assess the biomass of macroalgae for the government of marine environment protection. In this study, the synchronization cruise experiment was firstly introduced, which aimed to investigate the biomass evaluation of Ulva prolifera in the Yellow Sea of China. The Floating Algae Index by Polarimetric SAR image (FAIPS) was then proposed. Finally, the floating algae biomass evaluation model was demonstrated and verified, which showed an exponential relationship between FAIPS and wet biomass per area (kg/m2) of macroalgae. The model proposed in this paper can be used in the biomass assessment of floating algae in the presence of polarimetric SAR images, regardless of daylight and cloud coverage over the sea surface.

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