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Proceedings Paper

Monitoring heavy metal Cr in soil based on hyperspectral data using regression analysis
Author(s): Ningyu Zhang; Fuyun Xu; Shidong Zhuang; Changwei He
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Paper Abstract

Heavy metal pollution in soils is one of the most critical problems in the global ecology and environment safety nowadays. Hyperspectral remote sensing and its application is capable of high speed, low cost, less risk and less damage, and provides a good method for detecting heavy metals in soil. This paper proposed a new idea of applying regression analysis of stepwise multiple regression between the spectral data and monitoring the amount of heavy metal Cr by sample points in soil for environmental protection. In the measurement, a FieldSpec HandHeld spectroradiometer is used to collect reflectance spectra of sample points over the wavelength range of 325-1075 nm. Then the spectral data measured by the spectroradiometer is preprocessed to reduced the influence of the external factors, and the preprocessed methods include first-order differential equation, second-order differential equation and continuum removal method. The algorithms of stepwise multiple regression are established accordingly, and the accuracy of each equation is tested. The results showed that the accuracy of first-order differential equation works best, which makes it feasible to predict the content of heavy metal Cr by using stepwise multiple regression.

Paper Details

Date Published: 25 October 2016
PDF: 5 pages
Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 1015616 (25 October 2016); doi: 10.1117/12.2246698
Show Author Affiliations
Ningyu Zhang, Shandong Jianzhu Univ. (China)
Fuyun Xu, Shandong Jianzhu Univ. (China)
Shidong Zhuang, Shandong Jianzhu Univ. (China)
Changwei He, Shandong Jianzhu Univ. (China)

Published in SPIE Proceedings Vol. 10156:
Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology

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