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Assessment of Chlorophyll-a Concentration and Trophic State for Lake Chagan Using Landsat TM and Field Spectral Data

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Abstract

In this study, we present the digital evaluation of Landsat TM data and field spectral measurements for retrieving chlorophyll-a (chl-a) concentration and trophic state index in Lake Chagan of Northeast China. Chl-a concentration of the lake can be estimated from the band ratio (TM4/TM3) and the field spectral data at 670 nm (absorption peak) and at 700 nm (reflectance peak). The results show that the best determination coefficient (R 2) is 0.67 from the TM data, by which chl-a distribution can be mapped. Based on chl-a determination from laboratory analysis, field spectral and TM data, the modified trophic state index (TSIM) was applied to assess the lake’s trophic state. With the available data in Lake Chagan, each algorithm demonstrates the similar result for assessing the lake’s chl-a and trophic state. Our results indicate that Landsat TM and field spectral data could be used effectively to determine chl-a concentration and evaluate the trophic state of Lake Chagan in the study.

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Authors and Affiliations

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

    Hongtao Duan, Bai Zhang, Kaishan Song & Zongming Wang

  2. Graduate School of Chinese Academy of Sciences, Beijing, 100039, China

    Hongtao Duan

  3. Laboratory of Space Technology, Helsinki University of Technology, P.O. Box 3000, FIN-02015 HUT, Espoo, Finland

    Yuanzhi Zhang

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  1. Hongtao Duan
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  2. Yuanzhi Zhang
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  3. Bai Zhang
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  4. Kaishan Song
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  5. Zongming Wang
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Correspondence to Yuanzhi Zhang.

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Duan, H., Zhang, Y., Zhang, B. et al. Assessment of Chlorophyll-a Concentration and Trophic State for Lake Chagan Using Landsat TM and Field Spectral Data. Environ Monit Assess 129, 295–308 (2007). https://doi.org/10.1007/s10661-006-9362-y

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  • DOI: https://doi.org/10.1007/s10661-006-9362-y

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