2014
DOI: 10.5194/isprsannals-ii-7-75-2014
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Spectroscopic analysis of soil metal contamination around a derelict mine site in the Blue Mountains, Australia

Abstract: ABSTRACT:Abandoned mine sites pose the potential threat of the heavy metal pollution spread through streams and via runoff leading to contamination of soil and water in their surrounding areas. Regular monitoring of these areas is critical to minimise impacts on water resources, flora and fauna. Conventional ground based monitoring is expensive and sometimes impractical; spectroscopic methods have been emerged as a reliable alternative for this purpose. In this study, the capabilities of the spectroscopy metho… Show more

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Cited by 11 publications
(5 citation statements)
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“…Various studies have investigated heavy metal pollution in soil using satellite based multispectral (Jin et al 2015) and airborne hyperspectral data (Shamsoddini et al 2014). New satellites with hyperspectral, thermal, and microwave Lband active sensors provide more detailed measurements of soil moisture although the lower resolution makes it unsuitable for a mine site application.…”
Section: Soilmentioning
confidence: 99%
“…Various studies have investigated heavy metal pollution in soil using satellite based multispectral (Jin et al 2015) and airborne hyperspectral data (Shamsoddini et al 2014). New satellites with hyperspectral, thermal, and microwave Lband active sensors provide more detailed measurements of soil moisture although the lower resolution makes it unsuitable for a mine site application.…”
Section: Soilmentioning
confidence: 99%
“…This approach could be applied to eliminate the effect of multicollinearity among variables, reduce effective signal-to-noise ratio (SNR), and eliminate background interference, thus enhancing useful information and suppressing interference [ 13 , 14 ]; (2) The response of spectral bands varies widely among soil properties. Many researchers have removed noise generated during spectral analyses using the spectral information of pretreated raw soil and removed the effects of baseline and overlap to a certain extent, with good performance of the constructed models [ 15 , 16 ]. All preprocessing techniques aim to reduce un-modeled variability in data, which is necessary for enhancing spectral information [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…This was achieved by quantitative evaluations of the spectral activity of sediment and soil properties [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37]. However, due to challenges such as the collinearity, band overlaps, and interactions for some soil properties, the spectra of soil, sediment, or suspended solids are often broad and nonspecific [25].…”
Section: Application Of Near-infrared Spectroscopy (Nirs) For Analysimentioning
confidence: 99%
“…Typically, NIRS is primarily based on absorbance characteristics caused by vibrations of covalent bonds between H, C, O, S, and N, which are the main components of the organic matter [28]. Pure metals do not absorb in the NIR region [29]. However, their indirect detection is possible via their complexion with organic molecules containing C-H, N-H, and O-H bonds, which are detectable [30].…”
Section: Application Of Near-infrared Spectroscopy (Nirs) For Analysimentioning
confidence: 99%