Spectral measurements of fresh and dehydrated Douglas-fir foliage, from trees cultivated under three fertilization treatments, were acquired with a laboratory spectrophotometer. The slope (first-derivative) of the fresh- and dry-leaf absorbance spectra at locations near known protein absorption features was strongly correlated with total nitrogen (TN) concentration of the foliage samples. A particularly strong correlation was observed between the first-derivative spectra in the 2150-2170 nm region and TN, reaching a local maximum in the fresh-leaf spectra of #x2014; 0-84 at 2160 nm. Stepwise regression was used to generate calibration equations relating first-derivative spectra from fresh, dry/ intact, and dr/ ground samples to TN concentration. Standard errors of calibration were 1.52 mgg#x2212;1(fresh) 1-33 mgg#x2212;1(dry/ intact) and 1-20 mgg#x2212; 1(dry/ mground), with a goodness-of-fit of 0-94 and greater. Cross-validation was performed with the fresh-leaf dataset to examine the predictive capability of the regression method; standard errors of prediction ranged from 1-47-237 mgg-1 across seven different validation sets, prediction goodness of fit ranged from 0-85-0-94, and wavelength selection was fairly insensitive to the membership of the calibration set. All regressions in this study tended to select wavelengths in the 2100-2350 nm region, with the primary selection in the 2142-2172 nm region. The study provides positive evidence concerning the feasibility of assessing TN status of fresh-leaf samples by spectrometry; means. We assert that the ability to extract biochemical information from fresh-leaf spectra is a necessary but insufficient condition regarding the use of remote sensing for canopy-level biochemical estimation.
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