Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia
The objectives of this research were: (i) to assess the accuracy of diffuse reflectance spectroscopy (DRS) in predicting the soil organic carbon (SOC) content, and (ii) determine the importance of wavelength ranges and specific wavelengths in the SOC prediction model. The reflectance spectra of a to...
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| Format: | Article |
| Language: | English |
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Federation of Eurasian Soil Science Societies
2017-10-01
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| Series: | Eurasian Journal of Soil Science |
| Subjects: | |
| Online Access: | http://ejss.fesss.org/10.18393/ejss.319208 |
| _version_ | 1797723552331333632 |
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| author | Boško Miloš Aleksandra Bensa |
| author_facet | Boško Miloš Aleksandra Bensa |
| author_sort | Boško Miloš |
| collection | DOAJ |
| description | The objectives of this research were: (i) to assess the accuracy of diffuse reflectance spectroscopy (DRS) in predicting the soil organic carbon (SOC) content, and (ii) determine the importance of wavelength ranges and specific wavelengths in the SOC prediction model. The reflectance spectra of a total of 424 topsoils (0-25 cm) samples were measured in a laboratory using a portable Terra Spec 4 Hi-Res Mineral Spectrometer with a wavelength range 350-2500 nm. Partial least squares regression (PLSR) with leave-one-out cross validation was used to develop calibration models for SOC prediction. The accuracy of the estimate determined by the coefficient of determination (R2), the concordance correlation coefficient (ρc), the ratio of performance to deviation (RPD), the range error ratio (RER) and the root mean square error (RMSE) values of 0.83, 0.90, 2.22, 14.2 and 2.47 g C kg-1 respectively, indicated good model for SOC prediction. The near infrared (NIR) and the short-wave infrared (SWIR) spectrums were more accurate than those in the visible (VIS) and short-wave near-infrared (SWNIR) spectral regions. The wavelengths contributing most to the prediction of SOC were at: 1925, 1915, 2170, 2315, 1875, 2260, 1910, 2380, 435, 1960, 2200, 1050, 1420, 1425 and 500 nm. This study has shown that VIS-NIR reflectance spectroscopy can be used as a rapid method for determining organic carbon content in the Red Mediterranean soils that can be sufficient for a rough screening. |
| first_indexed | 2024-03-12T10:03:19Z |
| format | Article |
| id | doaj.art-65aaac26abe443dfb9f1f1e39393703a |
| institution | Directory Open Access Journal |
| issn | 2147-4249 2147-4249 |
| language | English |
| last_indexed | 2024-03-12T10:03:19Z |
| publishDate | 2017-10-01 |
| publisher | Federation of Eurasian Soil Science Societies |
| record_format | Article |
| series | Eurasian Journal of Soil Science |
| spelling | doaj.art-65aaac26abe443dfb9f1f1e39393703a2023-09-02T11:24:47ZengFederation of Eurasian Soil Science SocietiesEurasian Journal of Soil Science2147-42492147-42492017-10-016436537310.18393/ejss.319208Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from CroatiaBoško Miloš0Aleksandra Bensa1Institute for Adriatic Crops and Karst Reclamation, Put Duilova 11, 21 000 Split, CroatiaUniversity of Zagreb, Faculty of Agriculture, Soil Science Department, Svetošimunska 25, 10 000 Zagreb, CroatiaThe objectives of this research were: (i) to assess the accuracy of diffuse reflectance spectroscopy (DRS) in predicting the soil organic carbon (SOC) content, and (ii) determine the importance of wavelength ranges and specific wavelengths in the SOC prediction model. The reflectance spectra of a total of 424 topsoils (0-25 cm) samples were measured in a laboratory using a portable Terra Spec 4 Hi-Res Mineral Spectrometer with a wavelength range 350-2500 nm. Partial least squares regression (PLSR) with leave-one-out cross validation was used to develop calibration models for SOC prediction. The accuracy of the estimate determined by the coefficient of determination (R2), the concordance correlation coefficient (ρc), the ratio of performance to deviation (RPD), the range error ratio (RER) and the root mean square error (RMSE) values of 0.83, 0.90, 2.22, 14.2 and 2.47 g C kg-1 respectively, indicated good model for SOC prediction. The near infrared (NIR) and the short-wave infrared (SWIR) spectrums were more accurate than those in the visible (VIS) and short-wave near-infrared (SWNIR) spectral regions. The wavelengths contributing most to the prediction of SOC were at: 1925, 1915, 2170, 2315, 1875, 2260, 1910, 2380, 435, 1960, 2200, 1050, 1420, 1425 and 500 nm. This study has shown that VIS-NIR reflectance spectroscopy can be used as a rapid method for determining organic carbon content in the Red Mediterranean soils that can be sufficient for a rough screening.http://ejss.fesss.org/10.18393/ejss.319208ChemometricsPLSRSpectral regionswavelengths |
| spellingShingle | Boško Miloš Aleksandra Bensa Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia Eurasian Journal of Soil Science Chemometrics PLSR Spectral regions wavelengths |
| title | Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia |
| title_full | Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia |
| title_fullStr | Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia |
| title_full_unstemmed | Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia |
| title_short | Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia |
| title_sort | prediction of soil organic carbon using vis nir spectroscopy application to red mediterranean soils from croatia |
| topic | Chemometrics PLSR Spectral regions wavelengths |
| url | http://ejss.fesss.org/10.18393/ejss.319208 |
| work_keys_str_mv | AT boskomilos predictionofsoilorganiccarbonusingvisnirspectroscopyapplicationtoredmediterraneansoilsfromcroatia AT aleksandrabensa predictionofsoilorganiccarbonusingvisnirspectroscopyapplicationtoredmediterraneansoilsfromcroatia |