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Remote-sensing assessment of regional inland lake water clarity in northeast China

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Abstract

Water clarity in three lakes, Chagan, Xinmiao, and Kuli, in northeast China was evaluated based on Landsat TM data and in situ measurements in this study. The agreement between satellite data and water clarity from field-collected Secchi disk depth (SDD) for individual lakes was strong (0.72 ≤ R 2 ≤ 0.98), and four regression equations were used to estimate SDD values. Lake clarity showed strong geographic patterns: Lake Chagan had low clarity and Lake Xinmiao and Kuli had high clarity. The study indicates that Landsat TM can be effectively applied to estimate water clarity for inland lakes in the area.

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Acknowledgments

We would like to thank the Special Prize of President Scholarship for Postgraduate Students of the Chinese Academy of Sciences (No. 07YJ011001), the Knowledge Innovation Program of the Chinese Academy of Sciences (No. CXNIGLAS200807), and the National Natural Science Foundation of China (No. 40801137, 40871168) for providing financial support. Thanks are also due to two anonymous reviewers who offered helpful suggestions.

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Authors and Affiliations

  1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 210008, Nanjing, China

    Hongtao Duan & Ronghua Ma

  2. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong

    Yuanzhi Zhang

  3. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, 130012, Changchun, China

    Bai Zhang

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  1. Hongtao Duan
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  2. Ronghua Ma
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  3. Yuanzhi Zhang
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  4. Bai Zhang
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Correspondence to Hongtao Duan.

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Duan, H., Ma, R., Zhang, Y. et al. Remote-sensing assessment of regional inland lake water clarity in northeast China. Limnology 10, 135–141 (2009). https://doi.org/10.1007/s10201-009-0263-y

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