Estimating initial biomass of green tide algae in the South Yellow Sea with aid of UAV and S2A data

Zhiqiang Gao; Fuxiang Xu; Weitao Shang; Xiaopeng Jiang; Debin Song; Maosi Chen

doi:10.1117/12.2318852

18 September 2018 Estimating initial biomass of green tide algae in the South Yellow Sea with aid of UAV and S2A data

Zhiqiang Gao, Fuxiang Xu, Weitao Shang, Xiaopeng Jiang, Debin Song, Maosi Chen

Proceedings Volume 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV; 107670Y (2018) https://doi.org/10.1117/12.2318852
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

Since 2008, the Green Tide has been continuously erupted for 10 years in Yellow Sea. Relevant studies have proved that the source of the green tide burst is the laver rafts in the radiated sand area. In this study, UAV (Unmanned Aerial Vehicle ) and S2A (Sentinel Satellite) data were used to monitor and estimate the biomass of Green tide algae on the rafts of seaweed. Using UAV imagery combined with high-resolution satellite data and field survey data, Accurately monitoring and assessing the biomass of green tide algae in the radiation sandy area can provide a scientific basis for the prevention and early warning of the Southern Yellow Sea green tide disasters.

Citation Download Citation

Zhiqiang Gao, Fuxiang Xu, Weitao Shang, Xiaopeng Jiang, Debin Song, and Maosi Chen "Estimating initial biomass of green tide algae in the South Yellow Sea with aid of UAV and S2A data", Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 107670Y (18 September 2018); https://doi.org/10.1117/12.2318852

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KEYWORDS

Unmanned aerial vehicles

Biological research

RGB color model

Vegetation

Oceanography

Satellites

Data analysis

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