Literature DB >> 29571390

A UAV and S2A data-based estimation of the initial biomass of green algae in the South Yellow Sea.

Fuxiang Xu1, Zhiqiang Gao2, Xiaopeng Jiang3, Weitao Shang3, Jicai Ning3, Debin Song4, Jinquan Ai5.   

Abstract

Previous studies have shown that the initial biomass of green tide was the green algae attaching to Pyropia aquaculture rafts in the Southern Yellow Sea. In this study, the green algae was identified with unmanned aerial vehicle (UAV), an biomass estimation model was proposed for green algae biomass in the radial sand ridge area based on Sentinel-2A image (S2A) and UAV images. The result showed that the green algae was detected highly accurately with the normalized green-red difference index (NGRDI); approximately 1340 tons and 700 tons of green algae were attached to rafts and raft ropes respectively, and the lower biomass might be the main cause for the smaller scale of green tide in 2017. In addition, UAV play an important role in raft-attaching green algae monitoring and long-term research of its biomass would provide a scientific basis for the control and forecast of green tide in the Yellow Sea.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomass; Green algae; Pyropia aquaculture raft; S2A; UAV; Yellow Sea

Mesh:

Year:  2018        PMID: 29571390     DOI: 10.1016/j.marpolbul.2018.01.061

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  1 in total

1.  Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data.

Authors:  Jason K Jolliff; M David Lewis; Sherwin Ladner; Richard L Crout
Journal:  Sensors (Basel)       Date:  2019-09-10       Impact factor: 3.576

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.