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Monitoring water clarity using Landsat 8 imagery in Jiaozhou Bay, China, From 2013 to 2022

Yu, Dingfeng, Qi, Tengda, Yang, Lei, Zhou, Yan, Zhao, Chunyan and Pan, Shunqi ORCID: 2023. Monitoring water clarity using Landsat 8 imagery in Jiaozhou Bay, China, From 2013 to 2022. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17 , pp. 1938-1948. 10.1109/JSTARS.2023.3340438

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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, highlights the substantial impact of human activities on JZBs transparency.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Advanced Research Computing @ Cardiff (ARCCA)
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1939-1404
Date of First Compliant Deposit: 24 January 2024
Date of Acceptance: 1 December 2023
Last Modified: 12 Jun 2024 16:42

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