Mr. Xuming Shi Profile

Xuming Shi

at Jinlin Univ

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Proceedings Article | 30 September 2022 Paper

Retrieval of chlorophyll-a concentration based on Sentinel-2 images in inland lakes

Xuming Shi, Lingjia Gu, Tao Jiang, Mingda Jiang

Proceedings Volume 12232, 122321H (2022) https://doi.org/10.1117/12.2631480

KEYWORDS: Reflectivity, Data modeling, Satellites, Remote sensing, Performance modeling, Sensors, Multispectral imaging, Algorithm development, Short wave infrared radiation, Satellite imaging

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Eutrophication of water is becoming more and more serious, especially Case 2 waters in inland lakes. Chlorophyll-a (Chla) concentration is an important characterized parameter of inland lakes. Its monitoring can effectively reflect the eutrophication degree and changes of inland lakes. This study takes Chagan Lake as the research area, which is located in Jilin Province, Northeast China. Using Sentinel-2 images combined with the in-situ measurements at the same day to establish the inversion model of Chl-a concentration through single-band and band-ratio methods. In the process, models with these two methods using in-situ hyperspectral data which is corresponding to bands on Sentinel-2 are also developed. The experimental results show that the band-ratio method has a better effect on inhibiting the effects of total suspended sediments (TSS) and colored dissolved organic matter (CDOM) compared with single band method. In-situ model (R² = 0.69) and model for Sentinel-2 (R² = 0.69) have RMSE at 2.54 ug L^-1 and 2.51 ug L^-1, respectively. Thus, it is feasible to retrieve Chl-a in inland lakes from northeast China by remote sensing using the band-ratio method, which is of great significance for monitoring and early warning of water eutrophication.

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