Study on heavy metal pollutants monitoring methods in wheat producing areas based on hyperspectral remote sensing

被引：0
作者：
Jing, Ma [1 ]
Hai-Yang, Shang [2 ]
Peilong, Xu [3 ]
机构：
[1] College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou
[2] Lanzhou University of Finance and Economics, Lanzhou
[3] Analysis and Test Center, Qingdao University, Qingdao
来源：
Advance Journal of Food Science and Technology | 2015年 / 9卷 / 02期
关键词：
Hyperspectral remote sensing; Wavelet fractal analysis; Wheat cadmium pollution;
D O I：
10.19026/ajfst.9.1944
中图分类号：
学科分类号：
摘要：
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. © Maxwell Scientific Organization, 2015.
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页码：115 / 118
页数：3
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