Annual dynamic remote sensing monitoring of phycocyanin concentration in Lake Chaohu based on Sentinel-3 OLCI images-Reference-Cited by-同舟云学术

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Annual dynamic remote sensing monitoring of phycocyanin concentration in Lake Chaohu based on Sentinel-3 OLCI images

Published:2022 Issue:2 Volume:34 Page:391-403
ISSN:1003-5427
Container-title:Journal of Lake Sciences
language:en
Short-container-title:

Author:

Zhicheng Wang, ,Jie Wang,Shijiang Yan,Yuhuan Cui,Hanghang Wang

Publisher

Journal of Lake Sciences

Subject

Earth and Planetary Sciences (miscellaneous),Pollution,Water Science and Technology,Aquatic Science

Reference30 articles.

1. [1] Yan DN, Xu H, Yang M et al. Responses of cyanobacteria to climate and human activities at Lake Chenghai over the past 100 years. Ecological Indicators, 2019, 104:755-763. DOI:10.1016/j.ecolind.2019.03.019.

2. [2] Huisman J, Codd GA, Paerl HW et al. Cyanobacterial blooms. Nature Reviews Microbiology, 2018, 16(8):471-483. DOI:10.1038/s41579-018-0040-1.

3. [3] Liu EF, Shen J. A comparative study of metal pollution and potential eco-risk in the sediment of Lake Chaohu (China) based on total concentration and chemical speciation. Environmental Science and Pollution Research, 2014, 21(12):7285-7295. DOI:10.1007/s11356-014-2639-8.

4. [7] Smith ME, Robertson LL, Bernard S. An optimized chlorophyll a switching algorithm for MERIS and OLCI in phytoplankton-dominated waters. Remote Sensing of Environment, 2018, 215:217-227. DOI:10.1016/j.rse.2018.06.002.

5. [8] Liu G, Li L, Song KS et al. An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters. Remote Sensing of Environment, 2020, 239:111648. DOI:10.1016/j.rse.2020.111648.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Early Warning of Red Tide of Phaeocystis globosa Based on Phycocyanin Concentration Retrieval in Qinzhou Bay, China;Applied Sciences;2023-10-19

2. Dissolved oxygen concentration inversion based on Himawari-8 data and deep learning: a case study of lake Taihu;Frontiers in Environmental Science;2023-10-03

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