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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.8
- 수록면
- 497 - 502 (6page)
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초록· 키워드
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This study investigates the prediction of soil OM on Korean soils using the Visible-Near Infrared (Vis-NIR) spectroscopy. The ASD Field Spec Pro was used to acquire the reflectance of soil samples to visible to near-infrared radiation (350 to 2500 ㎚). A total of 503 soil samples from 61 Korean soil series were scanned using the instrument and OM was measured using the Walkley and Black method. For data analysis, the spectra were resampled from 500-2450 nm with 4 nm spacing and converted to the 1<SUP>st</SUP> derivative of absorbance (log (1/R)). Partial least squares regression (PLSR) and regression rules model (Cubist) were applied to predict soil OM. Regression rules model estimates the target value by building conditional rules, and each rule contains a linear expression predicting OM from selected absorbance values. The regression rules model was shown to give a better prediction compared to PLSR. Although the prediction for Andisols had a larger error, soil order was not found to be useful in stratifying the prediction model. The stratification used by Cubist was mainly based on absorbance at wavelengths of 850 and 2320 ㎚, which corresponds to the organic absorption bands. These results showed that there could be more information on soil properties useful to classify or group OM data from Korean soils. In conclusion, this study shows it is possible to develop good prediction model of OM from Korean soils and provide data to reexamine the existing prediction models for more accurate prediction.
목차
Introduction
Materials and Methods
Results and Discussion
Conclusion
References
참고문헌 (10)
참고문헌 신청
1. [학술지(정기간행물)] - Bellon-Maurel, V. / 2011 / Near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for assessing the amount of carbon stock in soils - Critical review and research perspectives / Soil Biol. Biochem 43 : 1398 ~ 1410
2. [학술지(정기간행물)] - Dalal, R.C. / 1986 / Simultaneous determination of moisture, organic carbon, and total nitrogen by near infrared reflectance spectrophotometry / Soil Sci. Soc. Am. J 50 : 120 ~ 123
3. [학술지(정기간행물)] - Minasny, B. / 2008 / Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy / Chemometr. Intell. Lab 94 : 72 ~ 79
4. [학술지(정기간행물)] - Morra, M.J / 1991 / Carbon and nitrogen analysis of soil fractions using near infrared reflectance spectroscopy / Soil Sci. Soc. Am. J 55 : 288 ~ 291
5. [학술지(정기간행물)] - Pozdnyakova, L / 2005 / Spatial analysis of cranberry yield at three scales / Agron. J 97 : 49 ~ 57
2. [학술지(정기간행물)] - Dalal, R.C. / 1986 / Simultaneous determination of moisture, organic carbon, and total nitrogen by near infrared reflectance spectrophotometry / Soil Sci. Soc. Am. J 50 : 120 ~ 123
3. [학술지(정기간행물)] - Minasny, B. / 2008 / Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy / Chemometr. Intell. Lab 94 : 72 ~ 79
4. [학술지(정기간행물)] - Morra, M.J / 1991 / Carbon and nitrogen analysis of soil fractions using near infrared reflectance spectroscopy / Soil Sci. Soc. Am. J 55 : 288 ~ 291
5. [학술지(정기간행물)] - Pozdnyakova, L / 2005 / Spatial analysis of cranberry yield at three scales / Agron. J 97 : 49 ~ 57
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UCI(KEPA) : I410-ECN-0101-2014-521-000807357