Remote Sensing Monitoring and Spatiotemporal Variation of
Turbidity of Chaohu Lake Based on GF-1 Image

Abstract

Abstract: Turbidity monitoring can provide a scientific basis for the prevention, control and early warning of lake water quality. In order to improve the dynamic monitoring capability of lake turbidity, satellite remote sensing monitoring and buoy detection station monitoring are combined to study the temporal and spatial changes of Chaohu Lake turbidity in 2019. The temporal and spatial variation characteristics of Chaohu Lake′s turbidity are studied through the statistical analysis of high-frequency continuous measured turbidity data at the buoy detection station, while the turbidity is quantitatively retrieved by constructing the optimal band combination model for remote sensing monitoring. The results showed that (1) the overall turbidity dynamics of Chaohu Lake is obvious, and the variation is significant within a short period of time, (2) the turbidity is sensitive to the red band and near-infrared band, (3) the overall turbidity of Chaohu Lake during the cyanobacteria outbreak period is relatively high, and diurnal turbidity changes significantly. This work provides a new idea for water quality monitoring, and at the same time promotes the application of air-ground joint methods in water quality monitoring.

Key words: remote sensing, turbidity, band combination, Chaohu Lake

CLC Number:

P237

CHAO Mingcan, ZHAO Qiang, YANG Tieli∗, LI Huafu, XIE Fazhi, WU Lei. Remote Sensing Monitoring and Spatiotemporal Variation of Turbidity of Chaohu Lake Based on GF-1 Image[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(2): 149-157.

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Remote Sensing Monitoring and Spatiotemporal Variation of Turbidity of Chaohu Lake Based on GF-1 Image

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