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A Study on Algae Bloom Pigment in the Eutrophic Lake Using Bio-Optical Modelling: Hyperspectral Remote Sensing Approach

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Abstract

Inland lake is one of the important sources of freshwater ecosystem and serves as a sentinel to the changing aquatic biodiversity. Chlorophyll-a (Chl-a) is a major biological indicator and essential measure of the eutrophic status of lake water because it is strongly related to algae biomass. In the present research, bio-optical algorithms were developed based on the semi-empirical approach using the spectral wavelengths of 400 to 800 nm from hyperspectral remote sensing measurement and compared with Sentinel-2MSI image for estimation of Chl-a concentration in the lake water. The results show that the bio-optical algorithm can estimate and predict the algae pigment (Chl-a) concentration in the eutrophic lake with good accuracy of R2 of 0.8958, root mean squared error of 13.028, and mean absolute percentage error of 8.44%. The developed algorithm will be suitable and potential for monitoring algae spatial dynamics and assessment in an inland lake.

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Data Availability

The datasets generated and analyzed during the current study are not publicly available due to confidentiality of the data, data protection, and privacy, but are available from the corresponding author on reasonable request.

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Acknowledgements

This Research work has been made possible by the funding support of BDA-HSRS, the DST, GOI (BDID/01/23/2014-HSRS/14). The authors are thankful to the SRM Institute of Science and Technology, Kattankulathur for providing all necessary facilities and constant encouragement for doing this research work.

Funding

The Funding for this research study was provided by the DST, GOI.

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Authors and Affiliations

  1. Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, 603203, India

    B. R. Vishnu Prasanth, R. Sivakumar & M. Ramaraj

Authors
  1. B. R. Vishnu Prasanth
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  2. R. Sivakumar
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  3. M. Ramaraj
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Contributions

All authors of this manuscript are contributed to this research study. Field water sample collections, measurements, and laboratory analyses were performed by SVP, RS, and RM. The satellite image process, model development, and preparation of manuscript draft by SVP, RS.

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Correspondence to R. Sivakumar.

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Vishnu Prasanth, B.R., Sivakumar, R. & Ramaraj , M. A Study on Algae Bloom Pigment in the Eutrophic Lake Using Bio-Optical Modelling: Hyperspectral Remote Sensing Approach. Bull Environ Contam Toxicol 109, 962–968 (2022). https://doi.org/10.1007/s00128-022-03511-9

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  • DOI: https://doi.org/10.1007/s00128-022-03511-9

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