Moisture, Soil Organic Matter and Nitrate Nitrogen Content Maps Using the Real-Time Soil Spectrophotometer

The soil reflectances, within the wavelength range of 400 to 1700 nm, were collected using the real-time soil spectrophotometer, and investigated for describing the soil parameter variability in the field. Moving average smoothing. Kubelka-Munk transformation and multiple scatter correction were app...

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Published inIFAC Proceedings Volumes Vol. 33; no. 29; pp. 307 - 312
Main Authors Anom, S.W. I Made, Shibusawa, S., Sasao, A., Sakai, K., Sato, H., Hirako, S., Blackmore, S.
Format Journal Article
LanguageEnglish
Published 01.11.2000
Subjects
real-time spectrophotometer
soil parameters
spatial variability
spatial variability
soil parameters
real-time spectrophotometer
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Abstract The soil reflectances, within the wavelength range of 400 to 1700 nm, were collected using the real-time soil spectrophotometer, and investigated for describing the soil parameter variability in the field. Moving average smoothing. Kubelka-Munk transformation and multiple scatter correction were applied to the soil reflectance; and correlation analysis and stepwise multi linear regressions were carried out to the original reflectance, the 1st and the 2nd derivatives. The results indicated that the derivative increased the correlation, and the 2nd derivative gave the best prediction in determination of the soil parameters. The variability distribution maps of soil parameters had been generated by block kriging with the 2nd derivative spectral reflectance.
AbstractList The soil reflectances, within the wavelength range of 400 to 1700 nm, were collected using the real-time soil spectrophotometer, and investigated for describing the soil parameter variability in the field. Moving average smoothing. Kubelka-Munk transformation and multiple scatter correction were applied to the soil reflectance; and correlation analysis and stepwise multi linear regressions were carried out to the original reflectance, the 1st and the 2nd derivatives. The results indicated that the derivative increased the correlation, and the 2nd derivative gave the best prediction in determination of the soil parameters. The variability distribution maps of soil parameters had been generated by block kriging with the 2nd derivative spectral reflectance.
Author Anom, S.W. I Made
Hirako, S.
Sasao, A.
Blackmore, S.
Sakai, K.
Sato, H.
Shibusawa, S.
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Cites_doi 10.1097/00010694-197212000-00011
10.13031/2013.31826
10.13031/2013.28329
10.1021/ac60214a047
10.2136/sssaj1989.03615995005300060028x
10.1016/S0065-2113(08)60672-0
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soil parameters
real-time spectrophotometer
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SubjectTerms real-time spectrophotometer
soil parameters
spatial variability
Title Moisture, Soil Organic Matter and Nitrate Nitrogen Content Maps Using the Real-Time Soil Spectrophotometer
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