Abstract

Aims: To establish heavy metal pollutants monitoring methods in wheat producing areas. Methods: Through hyperspectral remote sensing technology, wavelet energy coefficient was used to estimate the heavy metal pollution threads in wheat producing areas. Results: The study results showed that the spectral fractal dimension db series db5 wavelet decomposition of the third layer is the most stable and reliable signal. Conclusion: This method is rapid, widely applicable and could provide a convenient and accurate way in monitoring cadmium contamination of wheat.

Keywords:

Hyperspectral remote sensing, wavelet fractal analysis, wheat cadmium pollution,

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Competing interests

The authors have no competing interests.

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The authors have no competing interests.