التفاصيل البيبلوغرافية
| العنوان: |
Moisture Content Measurement of Broadleaf Litters Using Near-Infrared Spectroscopy Technique. |
| المؤلفون: |
Ghiseok Kim, Suk-Ju Hong, Ah-Yeong Lee, Ye-Eun Lee, Sangjun Im |
| المصدر: |
Remote Sensing; Dec2017, Vol. 9 Issue 12, p1212, 14p |
| مصطلحات موضوعية: |
SOIL moisture, INFRARED spectroscopy, GRISELINIA littoralis, PARTIAL least squares regression, REFLECTANCE |
| مستخلص: |
Near-infrared spectroscopy (NIRS) was implemented to monitor the moisture content of broadleaf litters. Partial least-squares regression (PLSR) models, incorporating optimal wavelength selection techniques, have been proposed to better predict the litter moisture of forest floor. Three broadleaf litters were used to sample the reflection spectra corresponding the different degrees of litter moisture. The maximum normalization preprocessing technique was successfully applied to remove unwanted noise from the reflectance spectra of litters. Four variable selection methods were also employed to extract the optimal subset of measured spectra for establishing the best prediction model. The results showed that the PLSR model with the peak of beta coefficients method was the best predictor among all of the candidate models. The proposed NIRS procedure is thought to be a suitable technique for on-the-spot evaluation of litter moisture. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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