Capturing Secchi disk depth by using Sentinel-2 MSI imagery in Jiaozhou Bay, China from 2017 to 2021

Yang, Lei; Yu, Dingfeng; Yao, Huiping; Gao, Hao; Zhou, Yan; Gai, Yingying; Liu, Xiaoyan; Zhou, Maosheng; Pan, Shunqi

doi:10.1016/j.marpolbul.2022.114304

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…Transparency is a crucial parameter for assessing water quality, eutrophication level, and describing the optical properties of water bodies [2] . It is also closely related to environmental parameters such as chlorophyll-a concentration, total suspended solids concentration, colored dissolved organic matter concentration, sea surface salinity, and sea surface temperature.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Water Clarity Using Landsat 8 Imagery in Jiaozhou Bay, China, From 2013 to 2022

Yu,

Qi,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Secchi disk depth (SDD) is a crucial indicator for assessing changes in the water environment. Coastal water transparency varies due to weather, climate, and human activities. Systematic observations are crucial for assessing water quality and ecosystem health. This study used Landsat 8 imagery to investigate the transparency of Jiaozhou Bay (JZB) from 2013 to 2022 and to explore the primary factors influencing transparency changes. Among natural factors, precipitation plays a dominant role in transparency changes. After 2019, there was an increase in rainfall in JZB, which usually leads to reduced transparency. However, the significant improvement in transparency, attributed to a sharp reduction in human activities due to the coronavirus disease 2019 (COVID-19), highlights the substantial impact of human activities on JZB's transparency.

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Section: Introductionmentioning

confidence: 99%

Monitoring Water Clarity Using Landsat 8 Imagery in Jiaozhou Bay, China, From 2013 to 2022

Yu,

Qi,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…SDD is an important approach to characterizing the optical properties of seawater (Tang and Chen, 2016;Zhou et al, 2018). It is also an important indicator of the marine ecological environment and aquatic health, which can change the heat flux transport, photosynthesis of phytoplankton, and circulation of underwater nutrients (Kirk, 1994;Rodrigues et al, 2017;Harvey et al, 2019;Zhou et al, 2021). The study of SDD contributes to understanding seawater quality, primary productivity, and aquatic ecosystems of phytoplankton.…”

Section: Introductionmentioning

confidence: 99%

“…These environmental parameters affecting SDD are related to deterministic events, such as abundant sediment transports in the estuary with low salinity plume, changes in nutrient concentrations due to upwelling, and seasonally varying sea surface temperature (SST) (Wang et al, 2015;Duy Vinh et al, 2016);. In addition, random events (e.g., algal blooms) can also have an important impact on SDD (Klemas, 2012;Yang et al, 2022). In past research on SDD, in addition to remote sensing monitoring technology, there is often analysis of the temporal and spatial changes of SDD and environmental driving forces (Philippart et al, 2013;Hayami et al, 2015;Nishijima et al, 2016;Nishijima et al, 2018;Luis et al, 2019;Idris et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Analysis of environmental factors impact on water transparency off southeastern Vietnam

Sun

Liu

et al. 2023

Front. Mar. Sci.

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Seawater transparency, one of the important parameters to evaluate the marine ecological environment and functions, can be measured using the Secchi disk depth (SDD). In this study, we use multi-source remote sensing data and other fused data from 2011 to 2020 to study the spatial distribution and variation of SDD off southeastern Vietnam. The monthly average of SDD in the study area has obvious seasonal variation characteristics and shows a double peak characteristic. An important observation is a significant decrease in transparency from July to September each year, which is far lower than other nearby seas. To study this low SDD phenomenon, the generalized additive model (GAM) is used to determine the main environmental factors. The response relationship between SDD and environmental factors on different time scales is explained through empirical mode decomposition (EMD) analysis experiments. The results show that the comprehensive explanation rate of the GAM model is 72.1%, and the main environmental factors affecting SDD all have non-linear response relationships with SDD. The contributions are ranked as sea surface salinity (SSS)> offshore current velocity (Cu)> wind direction (WD)> offshore Ekman transport (ETu)> sea surface temperature (SST)> mean direction of wind waves (MDWW). SDD is positively correlated with SSS and SST, and negatively correlated with Cu and ETu. SSS, Cu, ETu, and SST have a significant effect on SDD at interannual scales. Long-term changes in SDD are driven by SSS, Cu, WD, and SST. Generally, SSS has the most comprehensive impact on SDD. WD indirectly has a non-negligible impact on SDD by changing ocean dynamics processes.

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Retrieval and validation of the Secchi disk depth values (Zsd) from the Sentinel-3/OLCI satellite data in the Persian Gulf and the Gulf of Oman

Kabiri

2023

Environ Sci Pollut Res

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Capturing Secchi disk depth by using Sentinel-2 MSI imagery in Jiaozhou Bay, China from 2017 to 2021

Cited by 7 publications

References 42 publications

Monitoring Water Clarity Using Landsat 8 Imagery in Jiaozhou Bay, China, From 2013 to 2022

Monitoring Water Clarity Using Landsat 8 Imagery in Jiaozhou Bay, China, From 2013 to 2022

Analysis of environmental factors impact on water transparency off southeastern Vietnam

Retrieval and validation of the Secchi disk depth values (Zsd) from the Sentinel-3/OLCI satellite data in the Persian Gulf and the Gulf of Oman

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