Dynamic monitoring and spatiotemporal change analysis of Chaohu Lake algal bloom based on Sentinel-2 remote sensing data

Xinyu Chen; Shifeng Huang; Meihui Song; Pu Zheng; Mengcheng Hu

doi:10.1117/12.3007404

30 August 2023 Dynamic monitoring and spatiotemporal change analysis of Chaohu Lake algal bloom based on Sentinel-2 remote sensing data

Xinyu Chen, Shifeng Huang, Meihui Song, Pu Zheng, Mengcheng Hu

Author Affiliations +

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 1279725 (2023) https://doi.org/10.1117/12.3007404
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

To study the patterns of algal blooms in Chaohu Lake, this article uses Sentinel-2 images as the data source and extracts algal bloom using the Normalized Difference Vegetation Index (NDVI). From 2019 to 2022, the dynamic monitoring of algal bloom in Chaohu Lake is conducted, analyzing the temporal and spatial changes in algal blooms, exploring the driving factors of algal blooms in Chaohu Lake. The results indicate that: (1) From 2019 to 2022, the scale of the annual outbreak of algal bloom in Chaohu Lake gradually decreased. The degree of water blooms significantly decreased. (2)Chaohu Lake has strong seasonal changes in water blooms, with severe outbreaks in summer and autumn when temperatures are higher, indicating that temperature is the main factor driving the outbreak of water blooms. (3) As the main pollutant discharge area of Hefei urban area, the northwest of Chaohu Lake is the core area for algal blooms, indicating that water quality is an important influencing factor leading to algal blooms in Chaohu Lake; From the spatial changes in the movement of algal blooms from the northwest and the coast of east lake towards the middle of the lake, and from the middle of the lake to the northwest, it is found that wind speed is more likely to suppress the outbreak of algal blooms.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinyu Chen, Shifeng Huang, Meihui Song, Pu Zheng, and Mengcheng Hu "Dynamic monitoring and spatiotemporal change analysis of Chaohu Lake algal bloom based on Sentinel-2 remote sensing data", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 1279725 (30 August 2023); https://doi.org/10.1117/12.3007404

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KEYWORDS

Environmental monitoring

Remote sensing

Satellites

Water quality

Near infrared

Reflectivity

Vegetation

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