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The choice of spectral similarity algorithms influences suspected soil sample provenance.
Forensic Sci Int. 2023 Jun;347:111688. doi: 10.1016/j.forsciint.2023.111688. Epub 2023 Apr 12.
Forensic Sci Int. 2023.
PMID: 37068374
Forensic soil source identification: comparing matching by color, vis-NIR spectroscopy and easily-measured physio-chemical properties.
Zeng R, Rossiter DG, Zhao YG, Li DC, Zhang GL.
Zeng R, et al. Among authors: rossiter dg.
Forensic Sci Int. 2020 Dec;317:110544. doi: 10.1016/j.forsciint.2020.110544. Epub 2020 Oct 16.
Forensic Sci Int. 2020.
PMID: 33152601
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Predictive Mapping of Topsoil Organic Carbon in an Alpine Environment Aided by Landsat TM.
Yang R, Rossiter DG, Liu F, Lu Y, Yang F, Yang F, Zhao Y, Li D, Zhang G.
Yang R, et al. Among authors: rossiter dg.
PLoS One. 2015 Oct 16;10(10):e0139042. doi: 10.1371/journal.pone.0139042. eCollection 2015.
PLoS One. 2015.
PMID: 26473739
Free PMC article.
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Proximal spectral sensing to monitor phytoremediation of metal-contaminated soils.
Rathod PH, Rossiter DG, Noomen MF, van der Meer FD.
Rathod PH, et al. Among authors: rossiter dg.
Int J Phytoremediation. 2013;15(5):405-26. doi: 10.1080/15226514.2012.702805.
Int J Phytoremediation. 2013.
PMID: 23488168
Review.
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