Vis-NIR Spectroscopy for Soil Organic Carbon Assessment: A Meta-Analysis
The research papers assessing the content of soil organic carbon with the help of Vis-NIR spectroscopy approaches are systematically analyzed and subject to meta-analysis. This meta-analysis included 134 studies published in 1986–2022 with a total sample of 709 values of quantitative metrics. The pa...
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| Veröffentlicht in: | Eurasian soil science 2023-11, Vol.56 (11), p.1605-1617 |
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| creator | Chinilin, A. V. Vindeker, G. V. Savin, I. Yu |
| description | The research papers assessing the content of soil organic carbon with the help of Vis-NIR spectroscopy approaches are systematically analyzed and subject to meta-analysis. This meta-analysis included 134 studies published in 1986–2022 with a total sample of 709 values of quantitative metrics. The papers have been searched for in databases of scientific periodicals (RSCI, Science Direct, Scopus, and Google Scholar) by the key word combination “Vis-NIR spectroscopy AND soil organic carbon”. The meta-analysis using the nonparametric one-sided Kruskal–Wallis variance analysis in conjunction with nonparametric pairwise method shows the presence of a statistically significant difference between the median values of the accepted quantitative metrics of the predictive power of the models, namely, coefficient of determination (
R
2
cv/val
), root mean square error (RMSE), and the ratio of performance to deviation (RPD). The best performance of the preprocessing method for spectral curves is demonstrated and the estimates of soil organic carbon content obtained by laboratory and field spectroscopies are compared. |
| doi_str_mv | 10.1134/S1064229323601841 |
| format | Article |
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R
2
cv/val
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R
2
cv/val
), root mean square error (RMSE), and the ratio of performance to deviation (RPD). 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R
2
cv/val
), root mean square error (RMSE), and the ratio of performance to deviation (RPD). The best performance of the preprocessing method for spectral curves is demonstrated and the estimates of soil organic carbon content obtained by laboratory and field spectroscopies are compared.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1064229323601841</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Analytical methods Carbon Carbon content Earth and Environmental Science Earth Sciences Geotechnical Engineering & Applied Earth Sciences Infrared spectroscopy Meta-analysis Organic carbon Organic soils Root-mean-square errors Scientific papers Soil Soil Chemistry Soils Spectroscopy Spectrum analysis Statistical analysis Variance analysis |
| title | Vis-NIR Spectroscopy for Soil Organic Carbon Assessment: A Meta-Analysis |
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