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Open AccessArticle

High Temporal Resolution Monitoring of Suspended Matter Changes from GOCI Measurements in Lake Taihu

1
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
2
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
School of Geographic Science, Nanjing Normal University, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(8), 985; https://doi.org/10.3390/rs11080985
Received: 15 March 2019 / Revised: 11 April 2019 / Accepted: 23 April 2019 / Published: 25 April 2019
(This article belongs to the Special Issue Remote Sensing of Inland Waters and Their Catchments)
The Tiaoxi River is the main source of water for Lake Taihu and can result in plumes in the lake after heavy precipitation events. These plumes have played a crucial role in the water quality changes within the lake. High temporal resolution GOCI (Geostationary Ocean Color Imager) data were used to study the spatial distribution of the total suspended matter concentration in Lake Taihu after heavy precipitation events in the Tiaoxi River Basin via an empirical model. The plumes were analyzed after two heavy precipitation events in 2011 and 2013 using 16 GOCI images, which indicated that the Tiaoxi River had a great influence on the spatial distributions of total suspended matter and algal blooms. It was concluded that the main factors affecting the plumes in the Tiaoxi River were precipitation intensity, runoff, and total suspended matter concentration. Human activity, such as sand excavation also played a crucial role in sediment discharge. The results of this study demonstrate that the visualization of GOCI data makes it possible to use remote sensing technology to continuously monitor an inland water environment on an hourly scale, which is of great significance for studying the diffusion and evolution of river plumes. View Full-Text
Keywords: Lake Taihu; GOCI; suspended matter; precipitation; plumes Lake Taihu; GOCI; suspended matter; precipitation; plumes
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MDPI and ACS Style

Xu, Y.; Qin, B.; Zhu, G.; Zhang, Y.; Shi, K.; Li, Y.; Shi, Y.; Chen, L. High Temporal Resolution Monitoring of Suspended Matter Changes from GOCI Measurements in Lake Taihu. Remote Sens. 2019, 11, 985.

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Remote Sens., EISSN 2072-4292, Published by MDPI AG
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