Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope

Jiang, Xiaopeng; Gao, Zhiqiang; Zhang, Qingchun; Wang, Yueqi; Tian, Xinpeng; Shang, Weitao; Xu, Fuxiang

Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope

2020

Accurate estimation of the biomass of raft-attached green algae is important for predicting the scale of green-tides in the Yellow Sea, China. In this study, two different biomass estimation methods are proposed: green algae attached to nursery-net (GAAN) and green algae attached to rope (GAAR). The GAAN method involves the use of images obtained using an unmanned aerial vehicle (UAV), high-resolution satellite images, and data from a statistical yearbook. The GAAR method uses high-resolution satellite images and data from a field sample survey. The results showed that the biomass of GAAN and GAAR in the Subei Shoal during 2017 was 8868 tons and 2974 tons respectively. A longer-term study of the biomass of GAAN and GAAR could provide quantitative information for the earnings forecasts of Porphyra yezoensis and for green-tide prevention.

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