Prediction of soil organic carbon using VIS-NIR spectroscopy:  Application to Red Mediterranean soils from Croatia

Boško Miloš; Aleksandra Bensa

doi:https://doi.org/10.18393/ejss.319208

Article Details

Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia

Authors:

Boško Miloš | Aleksandra Bensa

Publisher:

Avrasya Toprak Bilimleri Dernekleri Federasyonu

Journal:

Eurasian Journal of Soil Science 2017 Vol.6 Issue 4, pp.365-373

Document Type:

Article

Publication Date:

9/2017

Document Language:

Turkish

Document ID (Org No.):

2000423587

eISSN:

2147-4249

DOI:

https://doi.org/10.18393/ejss.319208

Abstract:

 


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, 2.42, 15.1 and 2.47 g C kg-1
respectively, indicated successful 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. 

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Article Details

Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia

Authors: Boško Miloš | Aleksandra Bensa

Publisher: Avrasya Toprak Bilimleri Dernekleri Federasyonu

Journal: Eurasian Journal of Soil Science 2017 Vol.6 Issue 4, pp.365-373

Document Type: Article

Publication Date: 9/2017

Document Language: Turkish

Document ID (Org No.): 2000423587

eISSN: 2147-4249

DOI: https://doi.org/10.18393/ejss.319208

Issues

Authors:

Boško Miloš | Aleksandra Bensa

Publisher:

Avrasya Toprak Bilimleri Dernekleri Federasyonu

Journal:

Eurasian Journal of Soil Science 2017 Vol.6 Issue 4, pp.365-373

Document Type:

Article

Publication Date:

9/2017

Document Language:

Turkish

Document ID (Org No.):

2000423587

eISSN:

2147-4249

DOI:

https://doi.org/10.18393/ejss.319208