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A new method based on additive vegetation index for mapping Huangtai algae coverage in Lake Ulansuhai

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Abstract

Huangtai algal blooms are key indicators of eutrophication and lake-ecosystem damage. Understanding the spatiotemporal heterogeneity of their growth is critical for preserving the ecological environment. The dimidiate pixel model is commonly used to estimate vegetation coverage; however, indices such as the normalized difference vegetation index have not been specifically constructed for the Huangtai algae spectrum and thus are not specific or sufficiently precise for use as indicators. Therefore, we propose a new dimidiate pixel model based on a novel additive vegetation index to calculate the Huangtai algal coverage for each pixel using Landsat multispectral satellite images with 30-m resolution. The results showed that the additive vegetation index with R2 = 0.994 is a better indicator than the normalized difference vegetation index, enhanced vegetative index, and ratio vegetative index, with the accuracy of the new model reaching 86.61%. Monthly Landsat images from 2006 to 2016 were used to calculate the Huangtai algal coverage. Analysis of the inter-monthly variation indicated increased coverage from May to July, with an annual maximum and minimum of 14.43% and 0.33% in 2008 and 2013, respectively. This study provides a new reference map of Huangtai algal cover, which is important for monitoring and protecting the Lake Ulansuhai environment.

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Data availability

Some or all data used during the study are available from the corresponding author by request.

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Acknowledgements

We thank our colleagues at the Inner Mongolia Key Laboratory of River and Lake Ecology for their help. (Corresponding authors: Ruihong Yu and Yanling Hao). We would like to thank Editage (www.editage.cn) for English language editing.

Funding

This study was jointly funded by the National Key Research and Development Program of China (Grant No. 2021YFC3201203), National Natural Science Foundation of China (Grant No. 51869014), Major Science and Technology Projects of Inner Mongolia Autonomous Region (Grant Nos. 2020ZD0009 and ZDZX2018054), and Open Project Program of the Ministry of Education Key Laboratory of Ecology and Resources Use of the Mongolian Plateau (Grant No. KF2020006).

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Authors and Affiliations

  1. The Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China

    Liangqi Sun, Zhuangzhuang Zhang, Yuan Li, Linxiang Zhang, Ruihong Yu, Yanling Hao & Changwei Lu

  2. Department of Environmental Biology, Institute of Environmental Sciences, Leiden University, 2311, Leiden, Netherlands

    Qi Chen

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  1. Liangqi Sun
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  2. Zhuangzhuang Zhang
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  3. Yuan Li
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Contributions

Liangqi Sun: Investigation, Formal analysis, Software, Methodology, Writing-original draft, Writing—review & editing.

Zhuangzhuang Zhang: Investigation, Software, Methodology, Writing-original draft.

Yuan Li, Linxiang Zhang and Qi Chen: Investigation, Data curation, Resources.

Ruihong Yu and Yanling Hao: Supervision, Conceptualization, Writing—review & editing.

Changwei Lu: Investigation, Resources.

Corresponding author

Correspondence to Ruihong Yu.

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Sun, L., Zhang, Z., Li, Y. et al. A new method based on additive vegetation index for mapping Huangtai algae coverage in Lake Ulansuhai. Environ Sci Pollut Res 30, 24590–24605 (2023). https://doi.org/10.1007/s11356-022-23781-4

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  • DOI: https://doi.org/10.1007/s11356-022-23781-4

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