Study on the applicability of FAI linear fitting model in the extraction of cyanobacterial blooms-Reference-Cited by-同舟云学术

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Study on the applicability of FAI linear fitting model in the extraction of cyanobacterial blooms

Published:2024-09-09 Issue:10 Volume:196 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Su Tao,Xu Liangquan,Liu Xinbei,Cui Xingyuan,Lei Bo,Di Junnan,Xie Tian

Funder

Anhui University of Science and Technology Master's and Doctor's Fund Projects

the National Key Research and Development Project of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10661-024-13082-3.pdf

Reference58 articles.

1. Blondeau-Patissier, D., Gower, J. F. R., Dekker, A. G., & Phinn, S. R. (2014). A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans. Progress in Oceanography., 123, 123–144. https://doi.org/10.1016/j.pocean.2013.12.008

2. Binding, C. E., & Pizzolatol, Z. C. (2021). EOLakeWatch; Delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes. Ecological Indicators., 121, 106999. https://doi.org/10.1016/j.ecolind.2020.106999

3. Carmichael, W. W., & Boyer, G. L. (2016). Health impacts from cyanobacteria harmful algae blooms: Implications for the North American Great Lakes. Harmful Algae, 54, 194–212. https://doi.org/10.1016/j.hal.2016.02.002

4. Cannizzaro, J. P., Barnes, B. B., Hu, C., Corcoran, A. A., Hubbard, K. A., Muhlbach, E., Sharp, W. C., Brand, L. E., & Kelble, C. R. (2019). Remote detection of cyanobacteria blooms in an optically shallow subtropical lagoonal estuary using MODIS data. Remote Sensing of Environment., 231, 111227. https://doi.org/10.1016/j.rse.2019.111227

5. Cao, H. Y., & Han, L. (2021). Hourly remote sensing monitoring of harmful algal blooms (HABs) in Taihu Lake based on GOCI images. Environmental Science and Pollution Research., 28(27), 35958–35970. https://doi.org/10.1007/s11356-021-13318-6

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