Name
Title | ||
|---|---|---|
Moisture Content Measurement of Broadleaf Litters Using Near-Infrared Spectroscopy Technique. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3390/rs9121212 | REMOTE SENSING |
Keywords | Field | DocType |
near-infrared spectroscopy,multivariate analysis,partial least-squares regression,floor litter,optimal wavelength selection | Moisture,Normalization (statistics),Feature selection,Biological system,Hydrology,Near-infrared spectroscopy,Partial least squares regression,Remote sensing,Water content,Spectroscopy,Geology,Litter | Journal |
Volume | Issue | Citations |
9 | 12 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ghiseok Kim | 1 | 6 | 2.16 |
| Sukju Jung | 2 | 1 | 0.82 |
| Ah-Yeong Lee | 3 | 2 | 1.18 |
| Ye-Eun Lee | 4 | 0 | 0.34 |
| Sangjun Im | 5 | 0 | 0.34 |