Paper
30 April 2024 Seasonal variation of chlorophyll concentration in the Yongding New River Estuary from 2017 to 2021
Author Affiliations +
Proceedings Volume 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies; 1315710 (2024) https://doi.org/10.1117/12.3018131
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China
Abstract
Estuary is an important part of the coastal zone. It is the junction of rivers and ocean. It is not only the end of the material in rivers, but also the beginning of the material in ocean, and an important place for the exchange of material and energy between continents and oceans. The Yongding New River flows into the Bohai Bay, which is an important area for the construction of the Bohai Rim Economic Zone. The migration law of chlorophyll concentration and its influencing factors are the core issues of estuarine research. Remote sensing inversion can realize dynamic, continuous and synchronous observation of large areas of water, and quickly obtain the spatiotemporal distribution of chlorophyll concentration. In this study, the Sentinel-2 MSI data from 2017 to 2021 were used to retrieve the chlorophyll concentration in the study area. Based on these data, the spatiotemporal variation of chlorophyll concentration in different seasons and its influencing factors were analyzed. The results show that the chlorophyll concentration in the study area has obvious temporal and spatial distribution rules, which is higher in spring and winter, lower in Summer and Autumn. The three elements of Sea Surface Temperature (SST), Photosynthetically Active Radiation (PAR) and Wind Speed (WS) all have an impact on the spatiotemporal distribution of chlorophyll concentration.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhen Tian, Jianhua Zhu, Yan Li, Di Jia, and Zhiyong Xue "Seasonal variation of chlorophyll concentration in the Yongding New River Estuary from 2017 to 2021", Proc. SPIE 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies, 1315710 (30 April 2024); https://doi.org/10.1117/12.3018131
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KEYWORDS
Chlorophyll

MODIS

Factor analysis

Satellites

Satellite imaging

Linear regression

Remote sensing

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