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

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

doi:10.1016/j.marpolbul.2019.110678

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

Mar Pollut Bull. 2020 Jan:150:110678. doi: 10.1016/j.marpolbul.2019.110678. Epub 2019 Oct 29.

Authors

Xiaopeng Jiang¹, Zhiqiang Gao², Qingchun Zhang³, Yueqi Wang⁴, Xinpeng Tian⁴, Weitao Shang¹, Fuxiang Xu⁵

Affiliations

¹ Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
² Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China. Electronic address: zqgao@yic.ac.cn.
³ CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
⁴ Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China.
⁵ School of Public Administration, Shandong Technology and Business University, Yantai, 264005, China.

PMID: 31675555
DOI: 10.1016/j.marpolbul.2019.110678

Abstract

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.

Keywords: Attached algae; Biomass estimation; Green tide; Subei shoal; Unmanned aerial vehicle.

MeSH terms

Biomass
China
Chlorophyta*
Environmental Monitoring / methods*
Eutrophication
Remote Sensing Technology*
Ulva*