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Reflectance Technique for Predicting Soil Organic Matter
Author(s) -
Krishnan P.,
Alexander John D.,
Butler B. J.,
Hummel John W.
Publication year - 1980
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj1980.03615995004400060030x
Subject(s) - organic matter , soil water , wavelength , monochromator , soil organic matter , reflectivity , infrared , soil texture , diffuse reflectance infrared fourier transform , environmental science , chemistry , soil science , materials science , optics , physics , optoelectronics , organic chemistry , biochemistry , photocatalysis , catalysis
The objective of this research was to study the spectral reflectance of the selected soils in the infrared and visible wavelength regions and to identify optimal wavelengths for predicting the soil's organic matter content. Samples representative of soils of different texture and predicted organic matter content were collected from different areas in Illinois. Measurements of the spectral reflectance of soil samples in the infrared and visible wavelengths regions were recorded with a multipurpose computerized spectrophotometer with a Cary Model 14 monochromator attachment operated in a single beam mode. A stepwise multiple linear regression program was used to analyze the reflectance data and to determine the optimum wavelengths for predicting the organic matter content of the soil. An iterative procedure was used to identify the wavelengths that correlated best with organic matter content. No absorption peak due to soil organic matter was found in the infrared and visible regions of the spectrum scanned. The optimal wavelengths for predicting percent organic matter content are 0.6236 and 0.5644 µm and the model is of the form: Organic matter content = K × d log(r ‐1 0.6236 )/dλ 0.6234 / d log(r ‐1 0.5844 )/dλ 0.5844