A novel algorithm for estimating phytoplankton algal density in inland eutrophic lakes based on Sentinel-3 OLCI images-Reference-Cited by-同舟云学术

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A novel algorithm for estimating phytoplankton algal density in inland eutrophic lakes based on Sentinel-3 OLCI images

Published:2024-05 Issue: Volume:129 Page:103800
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Guo Honglei^ORCID,Liu Wenyu,Lyu Heng^ORCID,Liu Huaiqing,Xu Jiafeng,Li Yunmei^ORCID,Dong Xianzhang,Zhu Yuxin,Zheng Yiling,Miao Song

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference70 articles.

1. Spatio-temporal quantification and distribution of diatoms and dinoflagellates associated with algal blooms and human activities in Algiers Bay (Algeria) using Landsat-8 satellite imagery;Boufeniza;Regional Stud. Marine Sci.,2020

2. Comparison of chlorophyll in the Red Sea derived from MODIS-aqua and in vivo fluorescence;Brewin;Remote Sens. Environ.,2013

3. Optical properties of diverse phytoplanktonic species: experimental results and theoretical interpretation;Bricaud;J. Plankton Res.,1988

4. Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton: analysis and parameterization;Bricaud;J. Geophys. Res. Oceans,1995

5. Strength and uncertainty of phytoplankton metrics for assessing eutrophication impacts in lakes;Carvalho;Hydrobiologia,2013

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